WO2016154933A1 - Procédé et dispositif de correction de pré-distorsion numérique - Google Patents

Procédé et dispositif de correction de pré-distorsion numérique Download PDF

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WO2016154933A1
WO2016154933A1 PCT/CN2015/075606 CN2015075606W WO2016154933A1 WO 2016154933 A1 WO2016154933 A1 WO 2016154933A1 CN 2015075606 W CN2015075606 W CN 2015075606W WO 2016154933 A1 WO2016154933 A1 WO 2016154933A1
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model
input signal
dynamic
adjustment factor
amplifier
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PCT/CN2015/075606
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English (en)
Chinese (zh)
Inventor
肖宇翔
朱尔霓
尤览
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华为技术有限公司
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Priority to PCT/CN2015/075606 priority Critical patent/WO2016154933A1/fr
Priority to CN201580078331.XA priority patent/CN107431495B/zh
Publication of WO2016154933A1 publication Critical patent/WO2016154933A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/02—Transmitters
    • H04B1/04—Circuits

Definitions

  • the present invention relates to the field of communications, and in particular, to a digital predistortion correction method and apparatus.
  • a power amplifier is an important component of a transmitting device in a communication system.
  • power amplifiers need to operate at high efficiency while maintaining high linearity, while efficiency and linearity often contradict each other in the design of power amplifiers.
  • Digital Pre-Distortion (DPD) technology is a key technology that specifically compensates for the nonlinear characteristics of power amplifiers. The technique establishes a DPD model according to the characteristics of the power amplifier, and performs predistortion processing on the current input signal in the digital domain, so that the processed predistortion signal can cancel the nonlinear characteristic of the power amplifier itself after entering the power amplifier.
  • DPD technology the power amplifier can be operated in a high efficiency state while meeting the specification requirements in terms of linearity.
  • the power of the output signal of the power amplifier is often dynamically adjusted in real time as the traffic volume changes.
  • the power variation of such an output signal is often accompanied by a change in the characteristics of the power amplifier.
  • the nonlinear correction for the power dynamic change scene of the output signal is often realized by establishing a lookup table model related to the power value.
  • the lookup table model saves the correspondence between the model parameters and the power values of the preset DPD model in a table.
  • the corresponding model may be firstly found according to the power value of the current input signal.
  • the parameter determines a DPD model corresponding to the current input signal according to the acquired model parameters, and performs predistortion correction on the current input signal according to the DPD model.
  • the lookup table model needs to calculate and store the model parameters of the DPD model covering a sufficient power range in order to meet the correction requirements of different input signals, the amount of data calculated and stored is very large. Therefore, the acquisition process of model parameters is more complicated and the correction efficiency is lower.
  • the present invention provides a digital predistortion correction method and device.
  • the technical solution is as follows:
  • a digital predistortion correction method comprising:
  • a dynamic linear model and a dynamic nonlinear model are included, wherein the dynamic linear model is used to indicate a linear characteristic in a variable of an input signal, the dynamic nonlinear model being used to indicate a nonlinear characteristic in a variable of an input signal
  • the preselected input signal is at least two signals in the preset input signal group, and the preset input signal group includes a plurality of input signals having different power values;
  • the adjusting factor of a dynamic linear model of the preselected input signal and an adjustment factor of a dynamic nonlinear model of the preselected input signal establish an amplifier model of a current input signal ,include:
  • the N represents the number of sampling points of each input signal in the preset input signal group
  • the L1 represents the number of model coefficients of the static model
  • the L2 represents the model coefficient of the dynamic model.
  • Model coefficients based on the static model of the current input signal And model coefficients of the dynamic model Substituting the amplifier model formula, establishing an amplifier model corresponding to the current input signal to obtain the current input signal.
  • model coefficients of the dynamic model include:
  • an adjustment factor of the dynamic linear model of the preset input signal group and an adjustment factor of the dynamic nonlinear model of the preset input signal group are determined by substituting into the amplifier model formula to obtain the preset input signal group.
  • model coefficient of the static model of the preset input signal group as the model coefficient of the static model of the current input signal
  • model coefficient of the dynamic model of the preset input signal group as the model coefficient of the dynamic model of the current input signal
  • the preselected input signal is a first input signal having the highest power value and a second input signal having the lowest power value in the preset input signal group,
  • the determining an adjustment factor of the dynamic linear model of the preselected input signal in the amplifier model based on the preselected input signal comprises:
  • the linear adjustment factor formula is:
  • ⁇ i represents a parameter value of a dynamic linear characteristic parameter of the first input signal or a parameter value of a dynamic linear characteristic parameter of the second input signal
  • the i represents a power amount of the first input signal a power level of the second input signal
  • the ⁇ 1 representing a parameter value of a dynamic linear characteristic parameter of the first input signal
  • An adjustment factor representing a dynamic linear model of the first input signal or an adjustment factor of a dynamic linear model of the second input signal.
  • the dynamic linear characteristic parameter is an average power of an output signal corresponding to the preset input signal group in the power amplifier or a gain of an output signal corresponding to the preset input signal group in the power amplifier.
  • Determining, by the preselected input signal, an adjustment factor of a dynamic nonlinear model of the preselected input signal in the amplifier model comprising:
  • an adjustment factor of the dynamic linear model of the preset input signal group including:
  • the r indicates that the power level of the input signal in the preset input signal group is smaller than the power level M of the first input signal, and is greater than the power level m of the second input signal,
  • An adjustment factor representing a dynamic linear model of the first input signal An adjustment factor representing a dynamic linear model of the second input signal
  • the w (r) representing a weighting factor
  • the weighting factor w (r) being determined according to a weight formula, the weighting formula is:
  • P r represents a power value of an input signal of a power level r
  • P M represents a power value of the first input signal of a power level of M
  • the method After the digital pre-distortion correction of the current input signal according to the DPD model, the method also includes:
  • the DPD model of the current input signal is updated to obtain an updated amplifier model.
  • the state change of the power amplifier is device aging, temperature fluctuation, or bias voltage variation.
  • the updating the amplifier model of the current input signal to obtain an updated amplifier model includes:
  • model coefficients of the dynamic model of the updated amplifier model including:
  • model coefficients of the static model of the updated amplifier model according to the amplifier model of the current input signal including:
  • a difference between a model coefficient of a static model of the input signal after changing the state of the power amplifier and a model coefficient of a static model of the input signal before the change is used as a second difference;
  • a sum of a model coefficient of the static model of the current input signal and the second difference is used as a model coefficient of a static model of the updated amplifier model.
  • a digital predistortion correction apparatus comprising:
  • a first determining unit configured to determine, according to the preselected input signal, an adjustment factor of a dynamic linear model of the preselected input signal in an amplifier model, the amplifier model being used to indicate a static model of the output signal and the input signal, and a dynamic model of the input signal
  • the dynamic model includes a dynamic linear model and a dynamic nonlinear model, wherein the dynamic linear model is used to indicate a linear characteristic in a variable of the input signal, the dynamic nonlinear model being used to indicate a variable of the input signal
  • the preselected input signal is at least two signals in the preset input signal group, and the preset input signal group includes a plurality of input signals having different power values;
  • a second determining unit configured to determine, according to the preselected input signal, an adjustment factor of a dynamic nonlinear model of the preselected input signal in the amplifier model
  • a establishing unit configured to establish an amplifier model of the current input signal according to an adjustment factor of the dynamic linear model of the preselected input signal and an adjustment factor of a dynamic nonlinear model of the preselected input signal;
  • a processing unit configured to obtain a digital pre-distortion DPD model of the current input signal according to an amplifier model of the current input signal
  • a correcting unit configured to perform digital predistortion correction on the current input signal according to the DPD model of the current input signal.
  • the establishing unit includes:
  • a first determining module configured to determine a model of the static model of the current input signal by using an amplifier model formula according to an adjustment factor of a dynamic linear model of the preselected input signal, an adjustment factor of a dynamic nonlinear model of the preselected input signal coefficient And model coefficients of the dynamic model
  • the amplifier model formula is:
  • the N represents the number of sampling points of each input signal in the preset input signal group
  • the L1 represents the number of model coefficients of the static model
  • the L2 represents the model coefficient of the dynamic model.
  • a first generation module for using a model coefficient of a static model of the current input signal And model coefficients of the dynamic model Substituting the amplifier model formula to obtain an amplifier model corresponding to the current input signal.
  • the first determining module includes:
  • a first determining submodule configured to determine an adjustment factor of a dynamic linear model of the preset input signal group according to an adjustment factor of a dynamic linear model of the preselected input signal
  • a second determining submodule configured to determine an adjustment factor of a dynamic nonlinear model of the preset input signal group according to an adjustment factor of a dynamic nonlinear model of the preselected input signal
  • Substituting a sub-module for substituting an adjustment factor of a dynamic linear model of the preset input signal group and an adjustment factor of a dynamic nonlinear model of the preset input signal group into the amplifier model formula to obtain the preset input The model coefficients of the static model of the signal group and the model coefficients of the dynamic model of the preset input signal group;
  • a first processing submodule configured to use a model coefficient of a static model of the preset input signal group as a model coefficient of a static model of the current input signal Using the model coefficient of the dynamic model of the preset input signal group as the model coefficient of the dynamic model of the current input signal
  • the preselected input signal is a first input signal having the highest power value and a second input signal having the lowest power value in the preset input signal group.
  • the first determining unit includes:
  • a second determining module configured to determine an adjustment factor of the dynamic linear model of the first input signal according to a dynamic linear characteristic parameter and a linear adjustment factor formula of the first input signal
  • a third determining module configured to determine an adjustment factor of the dynamic linear model of the second input signal according to a parameter value of the dynamic linear characteristic parameter of the second input signal and a linear adjustment factor formula
  • the linear adjustment factor formula is:
  • ⁇ i represents a parameter value of a dynamic linear characteristic parameter of the first input signal or a parameter value of a dynamic linear characteristic parameter of the second input signal
  • the i represents a power amount of the first input signal a power level of the second input signal
  • the ⁇ 1 representing a parameter value of a dynamic linear characteristic parameter of the first input signal
  • An adjustment factor representing a dynamic linear model of the first input signal or an adjustment factor of a dynamic linear model of the second input signal.
  • the dynamic linear characteristic parameter is an average power of an output signal corresponding to the preset input signal group in the power amplifier or a gain of an output signal corresponding to the preset input signal group in the power amplifier.
  • the second determining unit includes:
  • a fourth determining module configured to determine a parameter value of a dynamic nonlinear characteristic parameter of the preselected input signal according to a parameter value and a nonlinear characteristic formula of the dynamic linear characteristic parameter of the preselected input signal, where the nonlinear characteristic formula is:
  • a fifth determining module configured to determine, according to a parameter value of a dynamic nonlinear characteristic parameter of the preselected input signal and a nonlinear adjustment factor formula, an adjustment factor of a dynamic nonlinear model of the preselected input signal, the nonlinear adjustment factor formula for:
  • the first determining sub-module is specifically configured to: determine, according to an adjustment factor of the dynamic linear model of the preselected input signal, a first interpolation formula to determine an adjustment factor of a dynamic linear model of the preset input signal group
  • the first interpolation formula is:
  • the r indicates that the power level of the input signal in the preset input signal group is smaller than the power level M of the first input signal, and is greater than the power level m of the second input signal,
  • An adjustment factor representing a dynamic linear model of the first input signal An adjustment factor representing a dynamic linear model of the second input signal
  • the w (r) representing a weighting factor
  • the weighting factor w (r) being determined according to a weight formula, the weighting formula is:
  • P r represents a power value of an input signal of a power level r
  • P M represents a power value of the first input signal of a power level of M
  • the second determining sub-module is specifically configured to: determine, according to an adjustment factor of the dynamic nonlinear model of the preselected input signal, a second interpolation formula to determine an adjustment factor of the dynamic nonlinear model of the preset input signal group
  • the second interpolation formula is:
  • the digital predistortion correction apparatus further includes:
  • an updating unit configured to update an amplifier model of the current input signal to obtain an updated amplifier model when a state of the power amplifier changes.
  • the state change of the power amplifier is device aging, temperature fluctuation, or bias voltage variation.
  • the updating unit includes:
  • a first acquiring module configured to acquire, according to an amplifier model of the current input signal, model coefficients of a dynamic model of the updated amplifier model
  • a second acquiring module configured to acquire, according to an amplifier model of the current input signal, model coefficients of a static model of the updated amplifier model
  • a second generation module for substituting the model coefficients of the dynamic model of the updated amplifier model and the model coefficients of the static model of the updated amplifier model into the amplifier model to obtain the updated amplifier model.
  • the first acquiring module includes:
  • a first difference submodule configured to use a difference between a model coefficient of a dynamic model of the input signal after the state change of the power amplifier and a model coefficient of a dynamic model of the input signal before the change as a first difference
  • a second processing submodule configured to use a sum of a model coefficient of the dynamic model of the current input signal and the first difference as a model coefficient of a dynamic model of the updated amplifier model.
  • the second obtaining module includes:
  • a second difference submodule wherein a difference between a model coefficient of a static model of the input signal after changing the state of the power amplifier and a model coefficient of a static model of the input signal before the change is used as a second difference value;
  • a third processing submodule configured to use a sum of a model coefficient of the static model of the current input signal and the second difference as a model coefficient of a static model of the updated amplifier model.
  • a digital predistortion correction apparatus comprising:
  • a processor for determining an adjustment factor of a dynamic linear model of the preselected input signal in the amplifier model according to the preselected input signal, the amplifier model for indicating a relationship between the output signal and a static model of the input signal, and a dynamic model of the input signal
  • the dynamic model includes a dynamic linear model for indicating a linear characteristic in a variable of an input signal, and a dynamic nonlinear model for indicating a non-variation in a variable of the input signal a linear characteristic, the preselected input signal is at least two signals in a preset input signal group, and the preset input signal group includes a plurality of input signals having different power values;
  • the processor is further configured to determine an adjustment factor of a dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal;
  • the processor is further configured to establish an amplifier model of the current input signal according to an adjustment factor of the dynamic linear model of the preselected input signal and an adjustment factor of a dynamic nonlinear model of the preselected input signal;
  • the processor is further configured to obtain a digital pre-distortion DPD model of the current input signal according to an amplifier model of the current input signal;
  • the processor is further configured to perform digital predistortion correction on the current input signal according to a DPD model of the current input signal.
  • the processor is specifically configured to:
  • the N represents the number of sampling points of each input signal in the preset input signal group
  • the L1 represents the number of model coefficients of the static model
  • the L2 represents the model coefficient of the dynamic model.
  • Model coefficients of the static model of the current input signal And model coefficients of the dynamic model Substituting the amplifier model formula to obtain an amplifier model corresponding to the current input signal.
  • the processor is specifically configured to:
  • model coefficient of the static model of the preset input signal group as the model coefficient of the static model of the current input signal
  • model coefficient of the dynamic model of the preset input signal group as the model coefficient of the dynamic model of the current input signal
  • the preselected input signal is a first input signal having the highest power value and a second input signal having the lowest power value in the preset input signal group.
  • the processor is specifically used to:
  • the linear adjustment factor formula is:
  • ⁇ i represents a parameter value of a dynamic linear characteristic parameter of the first input signal or a parameter value of a dynamic linear characteristic parameter of the second input signal
  • the i represents a power amount of the first input signal a power level of the second input signal
  • the ⁇ 1 representing a parameter value of a dynamic linear characteristic parameter of the first input signal
  • An adjustment factor representing a dynamic linear model of the first input signal or an adjustment factor of a dynamic linear model of the second input signal.
  • the dynamic linear characteristic parameter is an average power of an output signal corresponding to the preset input signal group in the power amplifier or a gain of an output signal corresponding to the preset input signal group in the power amplifier.
  • the processor is specifically configured to:
  • the processor is specifically configured to:
  • the r indicates that the power level of the input signal in the preset input signal group is smaller than the power level M of the first input signal, and is greater than the power level m of the second input signal,
  • An adjustment factor representing a dynamic linear model of the first input signal An adjustment factor representing a dynamic linear model of the second input signal
  • the w (r) representing a weighting factor
  • the weighting factor w (r) being determined according to a weight formula, the weighting formula is:
  • P r represents a power value of an input signal of a power level r
  • P M represents a power value of the first input signal of a power level of M
  • the processor is further configured to determine, according to an adjustment factor of the dynamic nonlinear model of the preselected input signal, a second interpolation formula to determine an adjustment factor of the dynamic nonlinear model of the preset input signal group
  • the second interpolation formula is:
  • the processor is further configured to:
  • the amplifier model of the current input signal is updated to obtain an updated amplifier model.
  • the state change of the power amplifier is device aging, temperature fluctuation, or bias voltage variation.
  • the processor is specifically configured to:
  • the processor is also specifically configured to:
  • the processor is also specifically configured to:
  • a difference between a model coefficient of a static model of the input signal after changing the state of the power amplifier and a model coefficient of a static model of the input signal before the change is used as a second difference;
  • a sum of a model coefficient of the static model of the current input signal and the second difference is used as a model coefficient of a static model of the updated amplifier model.
  • the invention provides a digital predistortion correction method and device, which can determine an adjustment factor of a dynamic linear model of the preselected input signal and an adjustment factor of the dynamic nonlinear model according to the preselected input signal, and then according to the preselected input
  • the adjustment factor of the dynamic linear model of the signal, the adjustment factor of the dynamic nonlinear model of the preselected input signal establishes the amplifier model of the current input signal, and then obtains the DPD model of the current input signal according to the amplifier model of the current input signal, and finally the current DPD model according to the current DPD model
  • the input signal is digitally predistort corrected.
  • FIG. 1 is a basic working principle diagram of an existing DPD technology according to an embodiment of the present invention.
  • FIG. 2 is a flowchart of a digital predistortion correction method according to an embodiment of the present invention
  • FIG. 3 is a flowchart of another digital predistortion correction method according to an embodiment of the present invention.
  • FIG. 4 is a schematic diagram of an amplifier model according to an embodiment of the present invention.
  • FIG. 5 is a flowchart of a method for determining an adjustment factor of a dynamic linear model of a preselected input signal in an amplifier model according to a preselected input signal according to an embodiment of the present invention
  • FIG. 6 is a flowchart of a method for determining an adjustment factor of a dynamic nonlinear model of a preselected input signal in an amplifier model according to a preselected input signal according to an embodiment of the present invention
  • FIG. 7 is a schematic diagram of determining model coefficients of a static model corresponding to a preselected input signal and model coefficients of a dynamic model according to an embodiment of the present invention
  • FIG. 8 is a flowchart of a method for establishing an amplifier model of a current input signal according to an adjustment factor of a dynamic linear model of a preselected input signal and an adjustment factor of a dynamic nonlinear model of a preselected input signal according to an embodiment of the present invention
  • FIG. 9 is an adjustment factor of a dynamic linear model according to a preselected input signal and an adjustment factor of a dynamic nonlinear model of a preselected input signal according to an embodiment of the present invention, and determining a model coefficient of a static model of the current input signal by using an amplifier model formula and Flow chart of the model coefficient method of the dynamic model;
  • FIG. 10 is a schematic diagram of determining an adjustment factor of a dynamic linear model and an adjustment factor of a dynamic nonlinear model corresponding to an input signal that is not trained in a preset input signal group according to an embodiment of the present disclosure
  • FIG. 11 is a flowchart of a method for updating an amplifier model obtained by updating an amplifier model of a current input signal according to an embodiment of the present invention
  • FIG. 12 is a flowchart of a method for obtaining a model coefficient of a dynamic model of an updated amplifier model according to an embodiment of the present invention
  • FIG. 13 is a flowchart of a method for obtaining a model coefficient of a static model of an updated amplifier model according to an embodiment of the present invention
  • FIG. 14 is a schematic diagram of model coefficient update of an amplifier model according to an embodiment of the present invention.
  • 15 is a schematic structural diagram of a digital predistortion correction apparatus according to an embodiment of the present invention.
  • 16 is a schematic structural diagram of another digital predistortion correction apparatus according to an embodiment of the present invention.
  • 17 is a schematic structural diagram of a establishing unit of a digital predistortion correction apparatus according to an embodiment of the present invention.
  • FIG. 18 is a schematic structural diagram of a first determining module of a digital predistortion correction apparatus according to an embodiment of the present disclosure
  • FIG. 19 is a schematic structural diagram of a first determining unit of a digital predistortion correction apparatus according to an embodiment of the present invention.
  • FIG. 20 is a second determining unit of a digital predistortion correction apparatus according to an embodiment of the present invention. Schematic;
  • 21 is a schematic structural diagram of an update unit of a digital predistortion correction apparatus according to an embodiment of the present invention.
  • FIG. 22 is a schematic structural diagram of a first acquiring module of a digital predistortion correction apparatus according to an embodiment of the present disclosure
  • FIG. 23 is a schematic structural diagram of a second acquiring module of a digital predistortion correction apparatus according to an embodiment of the present invention.
  • FIG. 24 is a schematic structural diagram of still another digital predistortion correction apparatus according to an embodiment of the present invention.
  • DPD technology is a key technology that compensates for the nonlinearity of the power amplifier in the digital domain, allowing the power amplifier to operate in a highly efficient saturation state without losing linearity.
  • the basic working principle of the DPD technology is to establish a DPD module 01 in the digital baseband, and pre-distort the input signal before entering the power amplifier (English: Power Amplifier; PA: 02).
  • the DPD module 01 The model is the DPD model, and the PA02 model is the amplifier model. If the DPD model is the inverse function of the amplifier model, the input signal will be linearly amplified after passing through the cascaded DPD modules 01 and PA02, thereby avoiding the input signal passing through. The output signal after PA02 is distorted.
  • the abscissa X represents the input power of the input signal
  • the ordinate Y represents the output power of the input signal
  • the first power graph on the left represents the power curve of the input signal
  • the second power graph represents the generation of the DPD module 01.
  • the third power graph represents the power curve of the output signal output from PA02 after the predistortion correction of the input signal.
  • the embodiment of the invention provides a digital predistortion correction method. As shown in FIG. 2, the method includes:
  • Step 101 Determine, according to the preselected input signal, an adjustment factor of a dynamic linear model of the preselected input signal in the amplifier model, the amplifier model is used to indicate a static model of the output signal and the input signal,
  • the relationship between the dynamic models of the input signals, the dynamic model includes a dynamic linear model and a dynamic nonlinear model, wherein the dynamic linear model is used to indicate linear characteristics in the variables of the input signal, and the dynamic nonlinear model is used to indicate the variables of the input signal.
  • the nonlinear characteristic, the preselected input signal is at least two signals in the preset input signal group, and the preset input signal group includes a plurality of input signals having different power values.
  • Step 102 Determine an adjustment factor of a dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal.
  • Step 103 Establish an amplifier model of the current input signal according to an adjustment factor of the dynamic linear model of the preselected input signal and an adjustment factor of the dynamic nonlinear model of the preselected input signal.
  • Step 104 Obtain a DPD model of the current input signal according to an amplifier model of the current input signal.
  • Step 105 Perform digital predistortion correction on the current input signal according to the DPD model of the current input signal.
  • the digital predistortion correction method provided by the embodiment of the present invention can determine the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model according to the preselected input signal, and then The amplifier model of the current input signal is established according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, and then the DPD model of the current input signal is obtained according to the amplifier model of the current input signal, and finally according to the DPD.
  • the model performs digital predistortion correction on the current input signal.
  • step 103 specifically includes:
  • the model coefficient of the static model of the current input signal is determined by using the amplifier model formula.
  • model coefficients of the dynamic model The amplifier model formula is:
  • N represents the number of sampling points of each input signal in the preset input signal group
  • L1 represents the number of model coefficients of the static model
  • L2 represents the number of model coefficients of the dynamic model
  • r represents the preset input signal group.
  • the power level of the input signal, r is an integer greater than or equal to 1,
  • An output signal group representing a preset input signal group, a matrix of N ⁇ 1, a static model representing a preset input signal group, a matrix of N ⁇ L1, a dynamic model representing a preset input signal group, a matrix of N ⁇ L2, a dynamic linear model representing a preset input signal group, a dynamic nonlinear model representing a preset input signal group,
  • model coefficient of the static model of the current input signal is determined by using the amplifier model formula
  • model coefficients of the dynamic model include:
  • the adjustment factor of the dynamic linear model of the preset input signal group is determined according to the adjustment factor of the dynamic linear model of the preselected input signal; the adjustment of the dynamic nonlinear model of the preset input signal group is determined according to the adjustment factor of the dynamic nonlinear model of the preselected input signal Factor; the adjustment factor of the dynamic linear model of the preset input signal group and the adjustment factor of the dynamic nonlinear model of the preset input signal group are substituted into the amplifier model formula, and the model coefficients and presets of the static model for determining the preset input signal group are obtained.
  • the model coefficient of the dynamic model of the preset input signal group is used as the model coefficient of the dynamic model of the current input signal
  • the preselected input signal is at least two signals in the preset input signal group. Taking the first input signal with the highest power value and the second input signal with the lowest power value in the preset input signal group as an example, the adjustment factor of the dynamic linear model of the preselected input signal in the amplifier model is determined according to the preselected input signal, including:
  • ⁇ i represents a parameter value of a dynamic linear characteristic parameter of the first input signal or a parameter value of a dynamic linear characteristic parameter of the second input signal
  • i represents a power magnitude of the first input signal or a power magnitude of the second input signal
  • ⁇ 1 represents the parameter value of the dynamic linear characteristic parameter of the first input signal
  • An adjustment factor representing the dynamic linear model of the first input signal or an adjustment factor of the dynamic linear model of the second input signal.
  • the dynamic linear characteristic parameter may be the average power of the output signal corresponding to the preset input signal group in the power amplifier or the output signal corresponding to the preset input signal group in the power amplifier.
  • the adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model is determined according to the preselected input signal, including:
  • Determining a parameter value of a dynamic nonlinear characteristic parameter of the preselected input signal according to a parameter value of the dynamic linear characteristic parameter of the preselected input signal and a nonlinear characteristic formula, and the nonlinear characteristic formula may be:
  • a parameter value indicating a dynamic nonlinear characteristic parameter of the preselected input signal x (i) (n) represents a signal value of the preselected input signal, y (i) (n) represents an output signal corresponding to the preselected input signal, and ⁇ i represents the first The parameter value of the dynamic linear characteristic parameter of the input signal or the parameter value of the dynamic linear characteristic parameter of the second input signal.
  • the adjustment factor of the dynamic nonlinear model of the preselected input signal is determined according to the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal and the nonlinear adjustment factor formula, and the nonlinear adjustment factor formula is:
  • a parameter value representing a dynamic nonlinear characteristic parameter of the first input signal a parameter value representing a dynamic nonlinear characteristic parameter of the preselected input signal, An adjustment factor representing a dynamic nonlinear model of the first input signal or an adjustment factor of a dynamic nonlinear model of the second input signal.
  • the adjustment factor of the dynamic linear model of the preset input signal group is determined according to an adjustment factor of the dynamic linear model of the preselected input signal, including:
  • the first interpolation formula is used to determine the adjustment factor of the dynamic linear model of the preset input signal group
  • the first interpolation formula can be:
  • r indicates that the power level of the input signal in the preset input signal group is smaller than the power level M of the first input signal, and greater than the power level m of the second input signal
  • An adjustment factor representing the dynamic linear model of the first input signal An adjustment factor representing a dynamic linear model of the second input signal
  • w (r) represents a weighting factor
  • a weighting factor w (r) is determined according to a weighting formula, which may be:
  • P r represents the power value of the input signal of the power level r
  • P M represents the power value of the first input signal of the power level M.
  • the adjustment factor of the dynamic nonlinear model of the preset input signal group is determined according to an adjustment factor of the dynamic nonlinear model of the preselected input signal, including:
  • the second interpolation formula is used to determine the adjustment factor of the dynamic nonlinear model of the preset input signal group.
  • the second interpolation formula can be:
  • An adjustment factor representing a dynamic nonlinear model of the first input signal An adjustment factor representing a dynamic nonlinear model of the second input signal, w (r) representing a weighting factor.
  • the method may further include: updating the amplifier model of the current input signal to obtain an updated amplifier model when the state of the power amplifier changes.
  • the state change of the power amplifier is device aging, temperature fluctuations, or bias voltage variations.
  • updating the amplifier model of the current input signal results in an updated amplifier model, including:
  • model coefficients of the dynamic model of the updated amplifier model according to an amplifier model of the current input signal; acquiring model coefficients of the static model of the updated amplifier model according to an amplifier model of the current input signal; and dynamics of the updated amplifier model
  • the model coefficients of the model and the model coefficients of the static model of the updated amplifier model are substituted into the amplifier model to obtain an updated amplifier model.
  • the model coefficients of the dynamic model of the updated amplifier model are obtained according to an amplifier model of the current input signal, including:
  • the difference between the model coefficient of the dynamic model of the input signal after changing the state of the power amplifier and the model coefficient of the dynamic model of the input signal before the change is taken as the first difference; the model coefficient of the dynamic model of the current input signal is the first difference
  • the sum of the values is used as the model coefficient of the dynamic model of the updated amplifier model.
  • model coefficients of the static model of the updated amplifier model based on the amplifier model of the current input signal including:
  • the model coefficient of the static model of the input signal after changing the state of the power amplifier and before the change The difference between the model coefficients of the static model of the input signal is taken as the second difference; the sum of the model coefficients of the static model of the current input signal and the second difference is used as the model coefficient of the static model of the updated amplifier model.
  • the digital predistortion correction method provided by the embodiment of the present invention can determine the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model according to the preselected input signal, and then The amplifier model of the current input signal is established according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, and then the DPD model of the current input signal is obtained according to the amplifier model of the current input signal, and finally according to the DPD.
  • the model performs digital predistortion correction on the current input signal.
  • Another embodiment of the present invention provides a digital predistortion correction method. As shown in FIG. 3, the method includes:
  • Step 201 Establish an amplifier model.
  • the amplifier model formula is:
  • N represents the number of sampling points of each input signal in the preset input signal group
  • the preset input signal group includes a plurality of input signals having different power values
  • L1 represents the number of model coefficients of the static model
  • L2 represents the dynamic model.
  • r represents the power level of the input signal in the preset input signal group, r is an integer greater than or equal to 1
  • An output signal group representing a preset input signal group, a matrix of N ⁇ 1, a static model representing a preset input signal group, a matrix of N ⁇ L1, a dynamic model representing a preset input signal group, a matrix of N ⁇ L2, a dynamic linear model representing a preset input signal group, a dynamic nonlinear model representing a preset input signal group,
  • An adjustment factor representing a dynamic linear model of a preset input signal group An adjustment factor representing a dynamic nonlinear model of a preset input signal group, a model coefficient representing a static model, Is a matrix of L1
  • the input signals in the preset input signal group are arranged in descending order of power values, in order: S1, S2, S3, S4, S5, S6, S7, S8, S9 and S10, then S1, S2
  • the power levels r corresponding to S3, S4, S5, S6, S7, S8, S9, and S10 are 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10, respectively.
  • the amplifier model includes three parts, a static model X (r) of a preset input signal group, and a dynamic linear model.
  • Dynamic nonlinear model It should be noted that the adjustment factor of the dynamic linear model in the model formula of the amplifier Adjustment factor of dynamic nonlinear model Model coefficient of static model And model coefficients of the dynamic model It is unknown.
  • Step 202 Determine an adjustment factor of a dynamic linear model of the preselected input signal in the amplifier model according to the preselected input signal.
  • the amplifier model is used to indicate the relationship between the output signal and the static model of the input signal, and the dynamic model of the input signal.
  • the dynamic model includes a dynamic linear model and a dynamic nonlinear model, wherein the dynamic linear model is used to indicate linearity in the variables of the input signal.
  • the characteristic, the dynamic nonlinear model is used to indicate a nonlinear characteristic in the variable of the input signal
  • the preselected input signal is at least two signals in the preset input signal group
  • the preset input signal group includes a plurality of input signals having different power values.
  • the preselected input signal may be the input signal with the highest power value and the input signal with the lowest power value in the preset input signal group, or may be The input signal with the highest power value, the input signal with the lowest power value, and the input signal corresponding to other power values are preset in the input signal group.
  • the input signals in the preset input signal group are arranged in descending order of power values, in order: S1, S2, S3, S4, S5, S6, S7, S8, S9 and S10, then the preselected input signals are selected. It can be S1 and S10, or S1, S4, S7 and S10.
  • the method for selecting the preselected input signal and the number of the selected preselected input signals are not limited.
  • the selected method may perform an average division according to the power value corresponding to the input signal in the preset input signal group to determine the preselected input signal.
  • the number of pre-selected input signals can be two or more than two.
  • Step 202 may include:
  • Step 2021 Determine an adjustment factor of a dynamic linear model of the first input signal according to a dynamic linear characteristic parameter of the first input signal and a linear adjustment factor formula.
  • the linear adjustment factor formula is:
  • ⁇ i represents a parameter value of a dynamic linear characteristic parameter of the first input signal or a parameter value of a dynamic linear characteristic parameter of the second input signal
  • i represents a power magnitude of the first input signal or a power magnitude of the second input signal
  • ⁇ 1 represents the parameter value of the dynamic linear characteristic parameter of the first input signal
  • An adjustment factor representing a dynamic linear model of the first input signal or an adjustment factor of a dynamic linear model of the second input signal.
  • i represents the power level of the preselected input signal
  • the preselected input signal may be the first input signal with the highest power value and the second input signal with the lowest power value in the preset input signal group, or may be pre-selected.
  • the input signal with the highest power value, the input signal with the lowest power value, and the input signal corresponding to other power values are set in the input signal group.
  • the selection of the pre-selected input signal is not limited in the embodiment of the present invention.
  • the parameter that can be used to represent the dynamic linear characteristic of the input signal is a dynamic linear characteristic parameter.
  • the dynamic linear characteristic parameter may be the average power of the output signal corresponding to the preset input signal group in the power amplifier or in the power amplifier. The gain of the output signal corresponding to the preset input signal group.
  • Step 2022 Determine an adjustment factor of a dynamic linear model of the second input signal according to a parameter value of the dynamic linear characteristic parameter of the second input signal and a linear adjustment factor formula.
  • the specific process of determining the adjustment factor of the dynamic linear model of the second input signal can be referred to the determination process in step 2021.
  • Step 203 Determine an adjustment factor of a dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal.
  • the embodiment of the present invention adopts a method of nonlinear measurement, that is, by calculating the difference between the optimal dynamic linear characteristic approximation of the characteristics of the power amplifier to represent the remaining dynamic non- Linear characteristics.
  • the step 203 may include:
  • Step 2031 Determine a parameter value of a dynamic nonlinear characteristic parameter of the preselected input signal according to a parameter value of the dynamic linear characteristic parameter of the preselected input signal and a nonlinear characteristic formula.
  • a parameter value indicating a dynamic nonlinear characteristic parameter of the preselected input signal x (i) (n) represents a signal value of the preselected input signal, y (i) (n) represents an output signal corresponding to the preselected input signal, and ⁇ i represents the first The parameter value of the dynamic linear characteristic parameter of the input signal or the parameter value of the dynamic linear characteristic parameter of the second input signal.
  • Step 2032 Determine an adjustment factor of a dynamic nonlinear model of the preselected input signal according to a parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal and a nonlinear adjustment factor formula.
  • the nonlinear adjustment factor formula is:
  • a parameter value representing a dynamic nonlinear characteristic parameter of the first input signal a parameter value representing a dynamic nonlinear characteristic parameter of the preselected input signal, An adjustment factor representing a dynamic nonlinear model of the first input signal or an adjustment factor of a dynamic nonlinear model of the second input signal.
  • the adjustment factor of the dynamic linear model of the first input signal can be determined according to the parameter value of the dynamic linear characteristic parameter of the first input signal, and according to the parameter value of the dynamic linear characteristic parameter of the second input signal, Determining an adjustment factor of a dynamic linear model of the second input signal; determining a parameter value of the dynamic nonlinear characteristic parameter of the first input signal according to the parameter value of the dynamic linear characteristic parameter of the first input signal, thereby determining the first input signal
  • the adjustment factor of the dynamic nonlinear model can determine the parameter value of the dynamic nonlinear characteristic parameter of the second input signal according to the parameter value of the dynamic linear characteristic parameter of the second input signal, thereby determining the dynamic nonlinear model of the second input signal Adjustment factor.
  • Step 204 Establish an amplifier model of the current input signal according to an adjustment factor of the dynamic linear model of the preselected input signal and an adjustment factor of the dynamic nonlinear model of the preselected input signal.
  • the adjustment factor of the dynamic linear model of the first input signal and the adjustment factor of the dynamic nonlinear model of the first input signal, the adjustment factor of the dynamic linear model of the second input signal, and the adjustment factor of the dynamic nonlinear model of the second input signal , the adjustment factor of the dynamic linear model of the preset input signal group and the adjustment factor of the dynamic nonlinear model can be determined, and then the model coefficient and the pre-determination of the static model of the preset input signal group can be determined according to the least square method using the amplifier model formula.
  • model coefficients of the dynamic model Establish an amplifier model of the current input signal.
  • the amplifier model formula can refer to the amplifier model formula in step 201.
  • FIG. 7 is a process for determining a model coefficient of a static model corresponding to a preselected input signal and a model coefficient of a dynamic model according to an adjustment factor of a dynamic linear model of the preselected input signal and an adjustment factor of the dynamic nonlinear model, as shown in FIG. 7 .
  • a preselected input signal in the preset input signal group is selected, and the preselected input signal may be the input signal with the highest power value and the input signal with the lowest power value in the preset input signal group, or may be the preset input signal.
  • the adjustment factors of the corresponding dynamic linear model and the adjustment factors of the dynamic nonlinear model are calculated, and then the model coefficients and dynamics of the static model corresponding to the preselected input signals are determined according to the least squares method using the amplifier model formula.
  • the model factor of the model is determined according to the least squares method using the amplifier model formula.
  • x (1) (n) to x (R) (n) represents the input signal in the preset input signal group
  • y (1) (n) to y (R) (n) represents the output corresponding to the preset input signal group signal
  • An adjustment factor indicating a dynamic linear model corresponding to an input signal in a preset input signal group to An adjustment factor indicating a dynamic nonlinear model corresponding to an input signal in a preset input signal group
  • a model coefficient representing a static model of a preset input signal group
  • a model coefficient representing a dynamic model of a preset input signal group is
  • step 204 may specifically include:
  • Step 2041 determining an model coefficient of a static model of the current input signal by using an amplifier model formula according to an adjustment factor of a dynamic linear model of the preselected input signal and an adjustment factor of a dynamic nonlinear model of the preselected input signal. And model coefficients of the dynamic model
  • step 2041 may specifically include:
  • Step 2041a Determine an adjustment factor of a dynamic linear model of the preset input signal group according to an adjustment factor of the dynamic linear model of the preselected input signal.
  • step 2041a may include:
  • the first interpolation formula is used to determine the adjustment factor of the dynamic linear model of the preset input signal group
  • the first interpolation formula can be:
  • An adjustment factor representing a dynamic linear model of the first input signal An adjustment factor representing a dynamic linear model of the second input signal
  • w (r) represents a weighting factor
  • a weighting factor w (r) is determined according to a weighting formula, which may be:
  • P r represents the power value of the input signal of the power level r
  • Step 2041b Determine an adjustment factor of the dynamic nonlinear model of the preset input signal group according to an adjustment factor of the dynamic nonlinear model of the preselected input signal.
  • step 2041b may include:
  • the second interpolation formula is used to determine the adjustment factor of the dynamic nonlinear model of the preset input signal group.
  • the second interpolation formula can be:
  • An adjustment factor representing a dynamic nonlinear model of the first input signal An adjustment factor representing a dynamic nonlinear model of the second input signal, w (r) representing a weighting factor.
  • the preselected input signal in the preset input signal group is also referred to as a trained input signal, and the input signal other than the preselected input signal in the preset input signal group is referred to as an untrained input signal, as shown by step 2041a and step 2041b.
  • the adjustment factor and the dynamic nonlinear model of the dynamic linear model corresponding to the input signal can be obtained by the first interpolation formula and the second interpolation formula. Adjustment factor.
  • the step 2041a and the step 2041b may be performed at the same time, and the sequence of the embodiment of the present invention is not limited.
  • FIG. 10 is a method for determining an adjustment factor of a dynamic linear model corresponding to an input signal signal that is not trained in a preset input signal group and an adjustment factor of a dynamic nonlinear model by using a first interpolation formula and a second interpolation formula. For details, refer to step 2041a and step 2041b.
  • M represents the power level of the first input signal
  • m represents the power level of the second input signal
  • x (M) (n) represents the first input signal
  • C M represents the model coefficient of the first input signal
  • y ( M) (n) represents the output signal corresponding to the first input signal
  • x (r) (n) represents that the power value is smaller than the power level M of the first input signal, and the power level m greater than the second input signal is not trained.
  • the input signal, (C r ) represents the model coefficient of the input signal
  • y (r) (n) represents the output signal corresponding to the input signal
  • x (m) (n) represents the second input signal
  • (C m ) represents The model coefficient of the second input signal
  • y (m) (n) represents the output signal corresponding to the second input signal
  • w (r) represents the weighting factor
  • the first interpolation formula and the second interpolation formula are used to determine the adjustment factor of the dynamic linear model corresponding to the input signal and the dynamic nonlinear model. Adjustment factor.
  • the input signals in the preset input signal group are arranged in descending order of power values, in order: S1, S2, S3, S4, S5, S6, S7, S8, S9 and S10, if the preselected input signal is S1 And S10, according to S1 and S10, the adjustment factor of the dynamic linear model corresponding to any one of the input signals S2, S3, S4, S5, S6, S7, S8 and S9 can be determined by the first interpolation formula and the second interpolation formula.
  • the adjustment factor of the dynamic nonlinear model if the preselected input signals are S1, S2, S6 and S10, since the power value of S3 is between the power values of S2 and S6, the first interpolation formula and the first can be adopted according to S2 and S6.
  • the two interpolation formula determines the adjustment factor of the dynamic linear model corresponding to S3 and the adjustment factor of the dynamic nonlinear model.
  • the adjustment factor and dynamics of the dynamic linear model corresponding to any one of S4, S5, S7, S8 and S9 can be determined.
  • the adjustment factor of the nonlinear model if the preselected input signals are S1, S2, S6 and S10, since the power value of S3 is between the power values of S2 and S6, the first interpolation formula and the first can be adopted according to S2 and S6.
  • the two interpolation formula determines the adjustment factor of the dynamic linear model corresponding to S3 and the adjustment factor of the dynamic nonlinear model.
  • the adjustment factor and dynamics of the dynamic linear model corresponding to
  • Step 2041c Substituting the adjustment factor of the dynamic linear model of the preset input signal group and the adjustment factor of the dynamic nonlinear model of the preset input signal group into the amplifier model formula to obtain model coefficients and presets of the static model of the preset input signal group The model coefficients of the dynamic model of the input signal group.
  • the adjustment factor of the dynamic linear model of the preset input signal group and the adjustment factor of the dynamic nonlinear model of the preset input signal group are obtained according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal.
  • the static model model is used to determine the static of the preset input signal group according to the least square method.
  • the model coefficients of the model and the model coefficients of the dynamic model of the preset input signal group are obtained according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal.
  • Step 2041d using a model coefficient of a static model of the preset input signal group as a model coefficient of a static model of the current input signal
  • the model coefficient of the dynamic model of the preset input signal group is used as the model coefficient of the dynamic model of the current input signal
  • the model coefficients of the static model of the preset input signal group and the model coefficients of the dynamic model of the preset input signal group are the model coefficients of the static model of the current input signal.
  • Step 2042 Apply model coefficients of a static model of the current input signal And model coefficients of the dynamic model Substitute the amplifier model formula to get the amplifier model corresponding to the current input signal.
  • Model coefficients for static models of current input signals are known And model coefficients of the dynamic model
  • the amplifier model corresponding to the current input signal can be established.
  • the method for acquiring the model coefficients in the digital predistortion correction method provided by the embodiment of the present invention can reduce the number of power values corresponding to different input signals that need to participate in the calculation, thereby reducing the complexity of the amplifier model establishment.
  • the way of obtaining the model coefficients corresponding to the remaining power values by means of linear interpolation can be combined with the adjustment factor of the original dynamic linear model in the amplifier model formula and the adjustment factor of the dynamic nonlinear model, thereby being simple and Quickly determine the model coefficients of the static model of the current input signal And model coefficients of the dynamic model
  • Step 205 Obtain a DPD model of the current input signal according to an amplifier model of the current input signal.
  • the inverse function of the amplifier model of the current input signal can be used as the DPD model of the current input signal.
  • the current input signal is linearly amplified after the cascaded DPD modules 01 and PA02, thereby avoiding the output signal of the current input signal after passing through PA02. Produces distortion.
  • Step 206 Perform digital predistortion correction on the current input signal according to the DPD model of the current input signal.
  • the predistortion signal corresponding to the inverse function of the DPD model of the current input signal is superimposed on the current input signal, so that the superposed signal passes through the power amplifier module to achieve the purpose of predistortion correction of the current input signal.
  • Step 207 When the state of the power amplifier changes, the amplifier model of the current input signal is updated to obtain an updated amplifier model.
  • steps 201 to 206 can better fit the characteristics of the power amplifier when the output power of the power amplifier changes, the operating state of the power amplifier may vary with device aging, temperature fluctuation, or bias voltage variation. The reason changes. Therefore, when the state of the power amplifier changes, the amplifier model of the current input signal needs to be updated to obtain an updated amplifier model to accommodate these changes. Illustrative, the state change of the power amplifier can be device aging, temperature fluctuations, or bias voltage variations. It should be noted that the method for detecting whether the state of the power amplifier is changed may be various. For details, refer to the prior art, and details are not described herein again.
  • the amplifier model of the current input signal is updated according to the specific update mode in step 207 to obtain the updated amplifier model.
  • step 207 may specifically include:
  • Step 2071 Acquire a model coefficient of a dynamic model of the updated amplifier model according to an amplifier model of the current input signal.
  • step 2071 may specifically include:
  • Step 2071a the difference between the model coefficient of the dynamic model of the input signal after changing the state of the power amplifier and the model coefficient of the dynamic model of the input signal before the change is taken as the first difference.
  • Step 2071b using the sum of the model coefficients of the dynamic model of the current input signal and the first difference as the model coefficients of the dynamic model of the updated amplifier model.
  • Step 2072 Acquire a model coefficient of the static model of the updated amplifier model according to an amplifier model of the current input signal.
  • step 2072 may specifically include:
  • Step 2072a the difference between the model coefficient of the static model of the input signal after changing the state of the power amplifier and the model coefficient of the static model of the input signal before the change is used as the second difference.
  • Step 2072b using the sum of the model coefficients of the static model of the current input signal and the second difference as the model coefficients of the static model of the updated amplifier model.
  • updating the model coefficients of the dynamic model of the amplifier model and the model coefficients of the static model can include two aspects:
  • model coefficients after the state change can be determined. (model coefficient of static model of input signal after state change) Model coefficients with dynamic models ) to determine the model coefficients after the state changes Difference between the model coefficient C (r') before the state change (second difference) First difference ):
  • Step 2073 Substituting the model coefficients of the dynamic model of the updated amplifier model and the model coefficients of the static model of the updated amplifier model into the amplifier model to obtain an updated amplifier model.
  • FIG. 14 is a process of updating the model coefficients of the amplifier model.
  • the upper part of the dotted line indicates the model coefficients of the dynamic model of the input signal after the state change of the power amplifier and the model coefficient of the dynamic model of the input signal before the change.
  • the first difference, and the process of obtaining the second difference between the model coefficient of the static model of the input signal after the state change of the power amplifier and the model coefficient of the static model of the input signal before the change refer to step 2071a and the step. 2072a
  • the portion below the dotted line indicates the model coefficient of the dynamic model of the dynamic model of the current input signal as the model coefficient of the dynamic model of the updated amplifier model, and the model coefficient of the static model of the current input signal.
  • the process of using the sum of the second difference as the model coefficient of the static model of the updated amplifier model can be specifically referred to steps 2071b and 2072b, and x (1) (n) to x (R) (n) in FIG. Current input signal.
  • Step 208 The inverse function of the updated amplifier model is used as a DPD model of the current input signal.
  • the amplifier model of the current input signal is updated to obtain the updated amplifier model.
  • the inverse function of the updated amplifier model is used as the DPD model of the current input signal to avoid the current input signal.
  • the output signal after passing through PA02 produces distortion.
  • Step 209 Perform digital predistortion correction on the current input signal according to the DPD model corresponding to the inverse function of the updated amplifier model.
  • step 206 For details, refer to step 206 in step 209, and details are not described herein again.
  • an input signal of a higher power value in the preset input signal group may be selected as the input signal of the amplifier module in FIG. No., and then calculate the model coefficient after the state change and the model coefficient before the state change, the model coefficient of the updated amplifier model according to the recalculated model coefficients, and then apply it to other power values to obtain the power amplifier.
  • the new amplifier model factor after the state change In this way, the amplifier model can quickly adapt to changes in the state of the power amplifier through occasional one or two coefficient updates, and adjust the model coefficients in the entire power dynamic range in time to adapt to this change in the power amplifier.
  • the amplifier model is better able to adapt to the dynamic changes in power amplifier power in modern wireless communication systems.
  • the amplifier model established according to the embodiment of the present invention is an accurate but simple amplifier model, which satisfies the solution of the output signal of the power amplifier. Requirements for key issues of DPD technology in power dynamics scenarios.
  • the size of the sequence numbers of the foregoing processes does not mean the order of execution sequence, and the execution order of each process should be determined by its function and internal logic, and the present invention should not be The implementation of the embodiments constitutes any limitation.
  • the digital predistortion correction method provided by the embodiment of the present invention can determine the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model according to the preselected input signal, and then The amplifier model of the current input signal is established according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, and then the DPD model of the current input signal is obtained according to the amplifier model of the current input signal, and finally according to the DPD.
  • the model performs digital predistortion correction on the current input signal.
  • the embodiment of the present invention provides a digital predistortion correction apparatus 50.
  • the apparatus provided by all embodiments of the present invention may be applied to a communication system, for example, the apparatus may be a radio frequency unit or a base station, or may be a part of a radio frequency unit or a base station. It can also be applied to other systems that require digital predistortion correction, such as part of a radar system or radar system.
  • the digital predistortion correction device 50 includes:
  • a first determining unit 501 configured to determine, according to the preselected input signal, an adjustment factor of a dynamic linear model of the preselected input signal in the amplifier model, the amplifier model being used to indicate a relationship between the output signal and a static model of the input signal, and a dynamic model of the input signal
  • the dynamic model includes a dynamic linear model for indicating a linear characteristic in a variable of the input signal, and a dynamic nonlinear model for indicating a nonlinear characteristic in the variable of the input signal, the preselected input signal To preset at least two signals in the input signal group, the preset input signal group includes a plurality of input signals having different power values.
  • the second determining unit 502 is configured to determine an adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal.
  • the establishing unit 503 is configured to establish an amplifier model of the current input signal according to an adjustment factor of the dynamic linear model of the preselected input signal and an adjustment factor of the dynamic nonlinear model of the preselected input signal.
  • the processing unit 504 is configured to obtain a digital pre-distortion DPD model of the current input signal according to an amplifier model of the current input signal.
  • the correcting unit 505 is configured to perform digital predistortion correction on the current input signal according to the DPD model of the current input signal.
  • the digital predistortion correction apparatus can determine the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model according to the preselected input signal, and then The amplifier model of the current input signal is established according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, and then the DPD model of the current input signal is obtained according to the amplifier model of the current input signal, and finally according to the DPD.
  • the model performs digital predistortion correction on the current input signal.
  • the digital predistortion correction apparatus 50 includes:
  • a first determining unit 501 configured to determine, according to the preselected input signal, an adjustment factor of a dynamic linear model of the preselected input signal in the amplifier model, the amplifier model being used to indicate the output signal and the input signal
  • the static model, the dynamic model of the input signal, the dynamic model includes a dynamic linear model and a dynamic nonlinear model, wherein the dynamic linear model is used to indicate the linear characteristic in the variable of the input signal, and the dynamic nonlinear model is used to indicate the input signal
  • the non-linear characteristic of the variable, the pre-selected input signal is at least two signals in the preset input signal group, and the preset input signal group includes a plurality of input signals having different power values.
  • the second determining unit 502 is configured to determine an adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal.
  • the establishing unit 503 is configured to establish an amplifier model of the current input signal according to an adjustment factor of the dynamic linear model of the preselected input signal and an adjustment factor of the dynamic nonlinear model of the preselected input signal.
  • the processing unit 504 is configured to obtain a digital pre-distortion DPD model of the current input signal according to an amplifier model of the current input signal.
  • the correcting unit 505 is configured to perform digital predistortion correction on the current input signal according to the DPD model of the current input signal.
  • the updating unit 506 is configured to update the amplifier model of the current input signal to obtain an updated amplifier model when the state of the power amplifier changes.
  • the establishing unit 503 may include:
  • the first determining module 5031 and the first substituting module 5032 are identical to each other.
  • the first determining module 5031 is configured to determine, according to an adjustment factor of the dynamic linear model of the preselected input signal, an adjustment factor of the dynamic nonlinear model of the preselected input signal, and use an amplifier model formula to determine a model coefficient of the static model of the current input signal.
  • model coefficients of the dynamic model The amplifier model formula is:
  • N represents the number of sampling points of each input signal in the preset input signal group
  • L1 represents the number of model coefficients of the static model
  • L2 represents the number of model coefficients of the dynamic model
  • r represents the preset input signal group.
  • the power level of the input signal, r is an integer greater than or equal to 1,
  • An output signal group representing a preset input signal group, a static model representing a preset input signal group, a dynamic model representing a preset input signal group, a dynamic linear model representing a preset input signal group, a dynamic nonlinear model representing a preset input signal group,
  • An adjustment factor representing a dynamic linear model of a preset input signal group
  • the first generation module 5032 is used to model the coefficient of the static model of the current input signal And model coefficients of the dynamic model Substitute the amplifier model formula to get the amplifier model corresponding to the current input signal.
  • the first determining module 5031 may include:
  • the first determining submodule 50311, the second determining submodule 50312, is substituted into the submodule 50313 and the first processing submodule 50314.
  • the first determining submodule 50311 is configured to determine an adjustment factor of the dynamic linear model of the preset input signal group according to an adjustment factor of the dynamic linear model of the preselected input signal.
  • the second determining submodule 50312 is configured to determine an adjustment factor of the dynamic nonlinear model of the preset input signal group according to an adjustment factor of the dynamic nonlinear model of the preselected input signal.
  • a first processing sub-module 50314 configured to use a model coefficient of a static model of the preset input signal group as a model coefficient of a static model of the current input signal
  • the model coefficient of the dynamic model of the preset input signal group is used as the model coefficient of the dynamic model of the current input signal
  • the first determining unit 501 may include:
  • the second determining module 5011 is configured to determine an adjustment factor of the dynamic linear model of the first input signal according to the dynamic linear characteristic parameter and the linear adjustment factor formula of the first input signal.
  • the third determining module 5012 is configured to determine an adjustment factor of the dynamic linear model of the second input signal according to the parameter value of the dynamic linear characteristic parameter of the second input signal and the linear adjustment factor formula.
  • the linear adjustment factor formula is:
  • ⁇ i represents a parameter value of a dynamic linear characteristic parameter of the first input signal or a parameter value of a dynamic linear characteristic parameter of the second input signal
  • i represents a power magnitude of the first input signal or a power magnitude of the second input signal
  • ⁇ 1 represents the parameter value of the dynamic linear characteristic parameter of the first input signal
  • An adjustment factor representing a dynamic linear model of the first input signal or an adjustment factor of a dynamic linear model of the second input signal.
  • the dynamic linear characteristic parameter is the average power of the output signal corresponding to the preset input signal group in the power amplifier or the gain of the output signal corresponding to the preset input signal group in the power amplifier.
  • the second determining unit 502 can include:
  • the fourth determining module 5021 and the fifth determining module 5022 are identical to each other.
  • the fourth determining module 5021 is configured to determine a parameter value of a dynamic nonlinear characteristic parameter of the preselected input signal according to a parameter value of the dynamic linear characteristic parameter of the preselected input signal and a nonlinear characteristic formula, where the nonlinear characteristic formula is:
  • a parameter value indicating a dynamic nonlinear characteristic parameter of the preselected input signal x (i) (n) represents a signal value of the preselected input signal, and y (i) (n) represents an output signal corresponding to the preselected input signal.
  • the fifth determining module 5022 is configured to determine, according to the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal and the nonlinear adjustment factor formula, an adjustment factor of the dynamic nonlinear model of the preselected input signal, where the nonlinear adjustment factor formula is:
  • a parameter value representing a dynamic nonlinear characteristic parameter of the first input signal is a parameter value representing a dynamic nonlinear characteristic parameter of the first input signal.
  • the first determining submodule is specifically configured to: determine, according to an adjustment factor of the dynamic linear model of the preselected input signal, a first interpolation formula to determine an adjustment factor of the dynamic linear model of the preset input signal group
  • the first interpolation formula is:
  • r indicates that the power level of the input signal in the preset input signal group is smaller than the power level M of the first input signal, and greater than the power level m of the second input signal
  • An adjustment factor representing a dynamic linear model of the first input signal An adjustment factor representing a dynamic linear model of the second input signal
  • w (r) represents a weighting factor
  • w (r) is determined according to a weighting formula, the weighting formula is:
  • P r represents the power value of the input signal of the power level r
  • P M represents the power value of the first input signal of the power level M.
  • the second determining sub-module is specifically configured to: determine, according to an adjustment factor of the dynamic nonlinear model of the preselected input signal, a second interpolation formula to determine an adjustment factor of the dynamic nonlinear model of the preset input signal group
  • the second interpolation formula is:
  • An adjustment factor representing a dynamic nonlinear model of the first input signal An adjustment factor representing a dynamic nonlinear model of the second input signal, w (r) representing a weighting factor.
  • the state change of the power amplifier may be device aging, temperature fluctuation or bias voltage variation.
  • the update unit 506 can include:
  • the first obtaining module 5061, the second obtaining module 5062 and the second joining module 5063 are identical to each other.
  • the first obtaining module 5061 is configured to obtain model coefficients of the dynamic model of the updated amplifier model according to an amplifier model of the current input signal.
  • the second obtaining module 5062 is configured to obtain model coefficients of the static model of the updated amplifier model according to the amplifier model of the current input signal.
  • the second generation module 5063 is configured to substitute the model coefficients of the dynamic model of the updated amplifier model and the model coefficients of the static model of the updated amplifier model into the amplifier model to obtain an updated amplifier model.
  • the first obtaining module 5061 may include:
  • the first difference sub-module 50611 is configured to use a difference between a model coefficient of a dynamic model of the input signal after the state of the power amplifier is changed and a model coefficient of the dynamic model of the input signal before the change as the first difference.
  • the second processing sub-module 50612 is configured to use the sum of the model coefficients of the dynamic model of the current input signal and the first difference as the model coefficients of the dynamic model of the updated amplifier model.
  • the second obtaining module 5062 may include:
  • the second difference sub-module 50621 is configured to use a difference between a model coefficient of the static model of the input signal after the state change of the power amplifier and a model coefficient of the static model of the input signal before the change as the second difference.
  • a third processing sub-module 50622 configured to calculate a model coefficient of the static model of the current input signal The sum of the two differences is used as the model coefficient of the static model of the updated amplifier model.
  • the digital predistortion correction apparatus can determine the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model according to the preselected input signal, and then The amplifier model of the current input signal is established according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, and then the DPD model of the current input signal is obtained according to the amplifier model of the current input signal, and finally according to the DPD.
  • the model performs digital predistortion correction on the current input signal.
  • the digital predistortion correction apparatus includes: at least one processor 701, at least one input/output (English: Input-Output; IO) interface. 702 or other communication interface, memory 703, and at least one communication bus 704 are used to effect connection communication between these devices.
  • the processor 701 is configured to execute a computer execution instruction 7031 in the memory 703, and control the IO interface 702 to perform transmission and reception.
  • the memory 703 may include a random access memory (English: Random Access Memory; RAM), and may also include a non-volatile memory, such as at least one disk storage.
  • the digital predistortion correction device is configured to receive and transmit data via at least one IO interface 702 (which may be wired or wireless), including a communication connection with at least one other network element.
  • IO interface 702 which may be wired or wireless
  • the processor executes the instructions in the execution of the computer, the steps in the foregoing method embodiments may be performed. For details, refer to the description in the foregoing method embodiments, and details are not described herein.
  • the embodiment of the present invention further provides a digital predistortion correction device.
  • the digital predistortion correction device includes:
  • the processor 701 is configured to determine, according to the preselected input signal, an adjustment factor of a dynamic linear model of the preselected input signal in the amplifier model, where the amplifier model is used to indicate a relationship between the output signal and a static model of the input signal, a dynamic model of the input signal, and dynamic
  • the model includes a dynamic linear model and a dynamic nonlinear model, wherein the dynamic linear model is used to indicate linear characteristics in the variables of the input signal, and the dynamic nonlinear
  • the qualitative model is used to indicate a nonlinear characteristic in the variable of the input signal, and the preselected input signal is at least two signals in the preset input signal group, and the preset input signal group includes a plurality of input signals having different power values.
  • the processor 701 is further configured to determine an adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model based on the preselected input signal.
  • the processor 701 is further configured to establish an amplifier model of the current input signal according to an adjustment factor of the dynamic linear model of the preselected input signal and an adjustment factor of the dynamic nonlinear model of the preselected input signal.
  • the processor 701 is further configured to obtain a digital pre-distortion DPD model of the current input signal according to an amplifier model of the current input signal.
  • the inverse function of the amplifier model of the current input signal can be used as a digital pre-distortion DPD model of the current input signal.
  • the processor 701 is further configured to perform digital predistortion correction on the current input signal according to the DPD model of the current input signal.
  • the digital predistortion correction apparatus can determine the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model according to the preselected input signal, and then The amplifier model of the current input signal is established according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, and then the DPD model of the current input signal is obtained according to the amplifier model of the current input signal, and finally according to the DPD.
  • the model performs digital predistortion correction on the current input signal.
  • processor 701 is specifically configured to:
  • the model coefficient of the static model of the current input signal is determined by using the amplifier model formula.
  • model coefficients of the dynamic model The amplifier model formula is:
  • N represents the number of sampling points of each input signal in the preset input signal group
  • L1 represents the number of model coefficients of the static model
  • L2 represents the number of model coefficients of the dynamic model
  • r represents the preset input signal group.
  • the power level of the input signal, r is an integer greater than or equal to 1,
  • An output signal group representing a preset input signal group, a static model representing a preset input signal group, a dynamic model representing a preset input signal group, a dynamic linear model representing a preset input signal group, a dynamic nonlinear model representing a preset input signal group, An adjustment factor representing a dynamic linear model of a preset input signal group, An adjustment factor representing a dynamic nonlinear model of a preset input signal group; a model coefficient of a static model of the current input signal And model coefficients of the dynamic model Substitute the amplifier model formula to get the amplifier model corresponding to the current input signal.
  • the processor 701 is also specifically configured to:
  • the adjustment factor of the dynamic linear model of the preset input signal group is determined according to the adjustment factor of the dynamic linear model of the preselected input signal; the adjustment of the dynamic nonlinear model of the preset input signal group is determined according to the adjustment factor of the dynamic nonlinear model of the preselected input signal Factor; the adjustment factor of the dynamic linear model of the preset input signal group and the adjustment factor of the dynamic nonlinear model of the preset input signal group are substituted into the amplifier model formula to obtain the model coefficient and the preset input of the static model of the preset input signal group.
  • the model coefficient of the dynamic model of the signal group; the model coefficient of the static model of the preset input signal group is used as the model coefficient of the static model of the current input signal
  • the model coefficient of the dynamic model of the preset input signal group is used as the model coefficient of the dynamic model of the current input signal
  • the pre-selected input signal may be a first input signal with the highest power value and a second input signal with the lowest power value in the preset input signal group, and the processor 701 is specifically configured to:
  • ⁇ i represents a parameter value of a dynamic linear characteristic parameter of the first input signal or a parameter value of a dynamic linear characteristic parameter of the second input signal
  • i represents a power magnitude of the first input signal or a power magnitude of the second input signal
  • ⁇ 1 represents the parameter value of the dynamic linear characteristic parameter of the first input signal
  • An adjustment factor representing a dynamic linear model of the first input signal or an adjustment factor of a dynamic linear model of the second input signal.
  • the dynamic linear characteristic parameter may be the average power of the output signal corresponding to the preset input signal group in the power amplifier or the output signal corresponding to the preset input signal group in the power amplifier.
  • the processor 701 is also specifically configured to:
  • the nonlinear characteristic formula is:
  • a parameter value indicating a dynamic nonlinear characteristic parameter of the preselected input signal x (i) (n) represents a signal value of the preselected input signal, and y (i) (n) represents an output signal corresponding to the preselected input signal.
  • the adjustment factor of the dynamic nonlinear model of the preselected input signal is determined according to the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal and the nonlinear adjustment factor formula, and the nonlinear adjustment factor formula is:
  • a parameter value representing a dynamic nonlinear characteristic parameter of the first input signal is a parameter value representing a dynamic nonlinear characteristic parameter of the first input signal.
  • the processor 701 is also specifically configured to:
  • the first interpolation formula is used to determine the adjustment factor of the dynamic linear model of the preset input signal group
  • the first interpolation formula is:
  • r indicates that the power level of the input signal in the preset input signal group is smaller than the power level M of the first input signal, and greater than the power level m of the second input signal
  • An adjustment factor representing a dynamic linear model of the first input signal An adjustment factor representing a dynamic linear model of the second input signal
  • w (r) represents a weighting factor
  • w (r) is determined according to a weighting formula, the weighting formula is:
  • P r represents the power value of the input signal of the power level r
  • P M represents the power value of the first input signal of the power level M.
  • the processor 701 is further configured to determine, according to an adjustment factor of the dynamic nonlinear model of the preselected input signal, a second interpolation formula to determine an adjustment factor of the dynamic nonlinear model of the preset input signal group.
  • the second interpolation formula is:
  • An adjustment factor representing a dynamic nonlinear model of the first input signal An adjustment factor representing a dynamic nonlinear model of the second input signal, w (r) representing a weighting factor.
  • processor 701 is further configured to:
  • the amplifier model of the current input signal is updated to obtain an updated amplifier model.
  • the state change of the power amplifier can be device aging, temperature fluctuations, or bias voltage variations.
  • the processor 701 is further configured to: obtain a model coefficient of the dynamic model of the updated amplifier model according to an amplifier model of the current input signal; and acquire a model coefficient of the static model of the updated amplifier model according to an amplifier model of the current input signal; The model coefficients of the dynamic model of the updated amplifier model and the model coefficients of the static model of the updated amplifier model are substituted into the amplifier model to obtain an updated amplifier model.
  • the processor 701 is further configured to: use a difference between a model coefficient of a dynamic model of the input signal after changing a state of the power amplifier and a model coefficient of a dynamic model of the input signal before the change as a first difference; and dynamically change a current input signal.
  • the sum of the model coefficients of the model and the first difference is used as the model coefficient of the dynamic model of the updated amplifier model.
  • the processor 701 is further configured to: use a difference between a model coefficient of a static model of the input signal after changing a state of the power amplifier and a model coefficient of a static model of the input signal before the change as a second difference; and statically use the current input signal The sum of the model coefficients of the model and the second difference is used as the model coefficient of the static model of the updated amplifier model.
  • the processor 701 may be a central processing unit (English: Central Processing Unit; CPU), and the processor may also be other general-purpose processors and digital signal processors.
  • Digital Sgnal Processing referred to as: DSP
  • Application Specific Integrated Circuit ASIC
  • Ready-to-Programmable Gate Array English: Field-Programmable Gate Array; FPGA
  • a general purpose processor can be A microprocessor, which can also be any conventional processor or the like.
  • the memory 703 can include read only memory and random access memory and provides computer executing instructions and data to the processor 701.
  • a portion of the memory may also include a non-volatile random access memory.
  • the memory can also store information of the device type.
  • each step in the foregoing method embodiments may be completed by an integrated logic circuit of hardware in the processor 701 or an instruction in a form of software.
  • the steps of the method disclosed in the embodiments of the present invention may be directly implemented as a hardware processor, or may be performed by a combination of hardware and software modules in the processor.
  • the software module can be located in a conventional storage medium such as random access memory, flash memory, read only memory, programmable read only memory or electrically erasable programmable memory, registers, and the like.
  • the storage medium is located in the memory, and the processor reads the information in the memory and combines the hardware to complete the steps of the above method. To avoid repetition, it will not be described in detail here.
  • the disclosed apparatus and method may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the functions may be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a standalone product.
  • the technical solution of the present invention which is essential or contributes to the prior art, or a part of the technical solution, may be embodied in the form of a software product, which is stored in a storage medium, including
  • the instructions are used to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention.
  • the aforementioned storage medium Including: U disk, mobile hard disk, read-only memory (English: Read-Only Memory; for short: ROM), RAM, disk or optical disk and other media that can store program code.
  • the digital predistortion correction apparatus can determine, according to the preselected input signal, an adjustment factor of the dynamic linear model of the preselected input signal in the amplifier model and an adjustment factor of the dynamic nonlinear model. Then, according to the adjustment factor of the dynamic linear model of the preselected input signal, the adjustment factor of the dynamic nonlinear model of the preselected input signal, an amplifier model of the current input signal is established, and then the DPD model of the current input signal is obtained according to the amplifier model of the current input signal, and finally Digital predistortion correction of the current input signal according to the DPD model.
  • the lookup table model Compared to the lookup table model, it is not necessary to calculate and store the model parameters of the amplifier model covering a sufficient power range, thereby eliminating the need to calculate and store the DPD model covering a sufficient power range.
  • the model parameters are used to meet the calibration requirements of different input signals. Therefore, the acquisition process of the model parameters is simplified and the correction efficiency is improved.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
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Abstract

La présente invention se rapporte au domaine des communications. La présente invention concerne un procédé et un dispositif de correction de pré-distorsion numérique. Le procédé consiste : à déterminer, selon des signaux d'entrée présélectionnés, des facteurs de réglage d'un modèle linéaire dynamique concernant les signaux d'entrée présélectionnés dans un modèle d'amplificateur, les signaux d'entrée présélectionnés étant au moins deux signaux dans un ensemble de signaux d'entrée préétabli ; à déterminer, selon les signaux d'entrée présélectionnés, des facteurs de réglage d'un modèle non linéaire dynamique concernant les signaux d'entrée présélectionnés dans le modèle d'amplificateur ; à établir, selon les facteurs de réglage du modèle linéaire dynamique concernant les signaux d'entrée présélectionnés et les facteurs de réglage du modèle non linéaire dynamique concernant les signaux d'entrée présélectionnés, un modèle d'amplificateur concernant un signal d'entrée courant ; à obtenir, selon le modèle d'amplificateur concernant le signal d'entrée courant, un modèle DPD concernant le signal d'entrée courant ; et à réaliser, selon le modèle DPD, une correction de pré-distorsion numérique sur le signal d'entrée courant. La présente invention résout les problèmes d'un processus d'obtention plus compliqué concernant des paramètres de modèle et d'efficacité de modélisation inférieure, et réalise une simplification du processus d'obtention concernant les paramètres de modèle, augmente l'effet d'efficacité de correction et est utilisée pour une correction de pré-distorsion.
PCT/CN2015/075606 2015-03-31 2015-03-31 Procédé et dispositif de correction de pré-distorsion numérique WO2016154933A1 (fr)

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