WO2022237395A1 - 预失真处理方法及其装置、通信设备、存储介质 - Google Patents
预失真处理方法及其装置、通信设备、存储介质 Download PDFInfo
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Definitions
- the present application relates to but is not limited to the field of signal processing, and in particular relates to a predistortion processing method and device thereof, communication equipment, and a storage medium.
- Power amplifier Power Amplify, PA
- RRU Radio Remote Unit
- the nonlinearity and memory effect of the PA will cause amplitude distortion and phase distortion of the output signal. This distortion is called nonlinear distortion.
- the nonlinear distortion includes in-band intermodulation distortion and out-of-band intermodulation distortion.
- PA linearization technology is the key technology to compensate for nonlinear distortion.
- a digital pre-distortion technology Digital Pre-Distortion, DPD
- the digital pre-distortion circuit in the DPD module generates nonlinear distortion according to the pre-distortion parameters.
- the quantity, and the non-linear quantity produced by the PA cancel each other out to achieve the effect of improving the linearity of the PA output signal.
- pre-distortion parameters are usually extracted from zero frequency, so a digital pre-distortion circuit needs to be configured for each frequency band to compensate nonlinear distortion of each frequency band separately.
- the extraction of predistortion parameters requires more storage and computing resources, and when the number is large, the index convergence speed is slow, which affects the performance of communication equipment.
- Embodiments of the present application provide a predistortion processing method and device thereof, communication equipment, and a storage medium.
- an embodiment of the present application provides a pre-distortion processing method, which is applied to a pre-distortion processing device, and the pre-distortion processing device is connected to a PA, wherein the pre-distortion processing method includes: acquiring an input signal, and Decomposing the input signal into at least two sub-band signals; obtaining a feedback signal from the PA; inputting the input signal, the feedback signal and the at least two sub-band signals to a pre-distortion model to obtain pre-distortion parameter; perform pre-distortion processing on the input signal according to the pre-distortion parameter.
- an embodiment of the present application provides a pre-distortion processing device, the pre-distortion processing device is connected to a PA, wherein the pre-distortion processing device includes: a signal separation module configured to obtain an input signal, and The input signal is decomposed into at least two sub-band signals; the signal sampling module is configured to obtain a feedback signal from the PA; the pre-distortion parameter acquisition module is configured to obtain the input signal, the feedback signal and the The at least two sub-band signals are input to the pre-distortion model to obtain pre-distortion parameters; the pre-distortion processing module is configured to perform pre-distortion processing on the input signals according to the pre-distortion parameters.
- the embodiment of the present application provides a communication device, including: a memory, a processor, and a computer program stored in the memory and operable on the processor, wherein, when the processor executes the computer program, the The predistortion processing method as described in the first aspect.
- FIG. 1 is a flowchart of a pre-distortion processing method provided by an embodiment of the present application
- FIG. 2 is a flow chart of updating a pre-distortion model according to a nonlinear distortion signal provided by another embodiment of the present application;
- Fig. 3 is a flow chart of updating the pre-distortion model according to the power amplifier distortion model provided by another embodiment of the present application;
- Fig. 4 is a flow chart of updating the distortion model according to the power amplifier provided by another embodiment of the present application.
- FIG. 5 is a flowchart of obtaining a predistortion signal provided by another embodiment of the present application.
- Fig. 6 is a schematic diagram of a pre-distortion processing device provided by another embodiment of the present application.
- FIG. 7 is a schematic diagram of a pre-distortion parameter acquisition module provided by another embodiment of the present application.
- Fig. 8 is a schematic diagram of a pre-distortion processing module provided by another embodiment of the present application.
- FIG. 9 is a schematic diagram of a pre-distortion processing device in Example 1 of the present application.
- FIG. 10 is a schematic spectrum diagram of Example 1 of the present application.
- FIG. 11 is a schematic diagram of a pre-distortion processing device in Example 2 of the present application.
- FIG. 12 is a schematic diagram of the frequency spectrum of Example 2 of the present application.
- FIG. 13 is a schematic diagram of a pre-distortion processing device in Example 3 of the present application.
- FIG. 14 is a schematic diagram of a frequency spectrum of Example 3 of the present application.
- Fig. 15 is an apparatus diagram of a communication device provided by another embodiment of the present application.
- An embodiment of the present application provides a pre-distortion processing method and its device, a communication device, and a storage medium.
- the pre-distortion processing method includes: acquiring an input signal, and decomposing the input signal into at least two sub-band signals; acquiring signals from the The feedback signal of the PA; input the input signal, the feedback signal and the at least two sub-band signals to a pre-distortion model to obtain pre-distortion parameters; perform pre-distortion on the input signal according to the pre-distortion parameters deal with.
- the predistortion parameters obtained through the predistortion model can realize predistortion processing of signals in multiple frequency bands, and effectively improve the efficiency of nonlinear compensation.
- Figure 1 is a pre-distortion processing method provided by an embodiment of the present application, which is applied to a pre-distortion processing device, and the pre-distortion processing device is connected to a power amplifier PA.
- the pre-distortion processing method includes but is not limited to the steps S110, step S120, step S130 and step S140.
- Step S110 acquiring an input signal, and decomposing the input signal into at least two sub-band signals.
- the input signal can be a multi-band vector sum signal from the upper link, and the method of decomposing the multi-band vector sum signal into at least two multi-band signals can be determined according to actual needs, for example, according to the multi-band vector sum signal and the carrier in the signal, which is not limited in this embodiment. It can be understood that the input signal can be a multi-band vector sum signal that can be decomposed into at least two sub-band signals, and of course it can also be a single-band signal. In order to reflect the technical solution of this application to realize the pre-distortion processing of multiple frequency band signals As a result, unless otherwise specified, the input signal in the embodiment of the present application is a multi-band vector sum signal, and details will not be described later.
- Step S120 acquiring a feedback signal from the PA.
- the feedback signal of the PA can be acquired by a radio frequency signal sampling device, and the feedback signal is extracted from the amplified analog signal output by the PA. This embodiment does not limit the specific acquisition method of the feedback signal.
- the feedback signal may be a vector sum signal with distortion, for example, an intermediate frequency combined feedback signal extracted from the analog signal output by the PA according to the frequency band to be predistorted.
- Step S130 inputting the input signal, the feedback signal and at least two sub-band signals into the predistortion model to obtain predistortion parameters.
- the input signal, the feedback signal and at least two sub-band signals are input to the pre-distortion model, they can be directly used to calculate the pre-distortion parameters, or any signal can be processed and then used for the pre-distortion parameters
- the two sub-band signals are conjugated, and the specific method can be processed according to the actual pre-distortion model, which is not limited in this embodiment.
- the pre-distortion model can be a fixed model, or a model that can be flexibly configured according to different inputs.
- the flexible configuration of the pre-distortion model can be realized according to the sub-band signal, and the frequency band for pre-distortion processing can be performed according to the needs. Adjust the conjugate mode of the sub-band signal to obtain different nonlinear distortion signals. The nonlinear distortion signals are different, and the predistortion parameters obtained after inputting the predistortion model are different.
- the predistortion model can be made Can be applied to more predistortion scenarios.
- the predistortion parameters obtained according to the predistortion model can be used for non-linear compensation in different frequency bands by adjusting the number and processing methods of sub-frequency band signals. Therefore, the technical solution of this embodiment can reduce communication The number of predistortion parameters of the device improves the efficiency of nonlinear compensation and improves the performance of the communication device.
- Step S140 performing pre-distortion processing on the input signal according to the pre-distortion parameters.
- pre-distortion processing can be performed on at least two sub-frequency bands obtained by decomposing the input signal through nonlinear modeling to obtain pre-distortion signals, and the pre-distortion signal can also be pre-distorted according to the pre-distortion parameters in the input signal.
- the frequency band to be processed is subjected to pre-distortion processing.
- the specific method of performing pre-distortion processing according to pre-distortion parameters is not limited in this embodiment, and can be selected according to actual requirements.
- nonlinear modeling can adopt a commonly used modeling method, and this embodiment does not involve the improvement of a specific nonlinear modeling method, and the input signal can be pre-distorted according to the pre-distortion parameters. , which will not be elaborated here.
- the predistortion model is:
- ⁇ m is the pre-distortion parameter
- M is the preset memory depth
- Both are pre-set power amplifier distortion models
- k 1 and k 2 are pre-set model orders
- func( ⁇ ) is a nonlinear basis
- y(n) is a feedback signal.
- y(n) is the feedback signal, which can be obtained by radio frequency sampling, that is, the obtained y(n) is a known parameter, and M, k 1 , k 2 , func ( ⁇ ), and They are all parameters known in advance, so the combination feedback signal y(n) can be obtained by radio frequency sampling, so as to calculate the predistortion parameter ⁇ m , the specific calculation method is not an improvement of this embodiment, and will not be described here repeat.
- the memory depth can be pre-set according to the resources of the communication device. From the above expression, it can be seen that the larger the value of the memory depth, the greater the amount of calculation and the more resources it needs to consume. The obtained predistortion parameters The accuracy is higher, therefore, those skilled in the art are motivated to adjust according to the available resources of the communication device, which is not limited here.
- the signal transmission bandwidth is 20 MHz
- the bandwidth of the frequency band that needs to be canceled by pre-distortion processing is 60 MHz Hertz
- the above example is only to show that the number and value of the model order can be adjusted according to actual needs, and does not limit the technical solution of this embodiment.
- the nonlinear base and power amplifier distortion model can be determined according to actual needs, for example, by determining the frequency band signal and the scene that needs to be pre-distorted, and the flexible configuration of the pre-distortion model can be realized through the flexible configuration of the power amplifier distortion model, so that The obtained predistortion parameters are able to perform predistortion processing on signals in more frequency bands.
- step S130 in the embodiment shown in FIG. 1 also includes but is not limited to the following steps:
- Step S210 according to the pre-set pre-distortion scene, generate several nonlinear distortion signals according to the sub-band signal and the input signal;
- Step S220 inputting the input signal, the feedback signal and the nonlinear distortion signal into the predistortion model to obtain the predistortion parameters.
- the flexible configuration of the power amplifier distortion model can be realized, so that the predistortion parameters obtained by the predistortion model can perform nonlinear compensation for multiple frequency bands.
- nonlinear distortion can be divided into in-band intermodulation distortion and out-of-band intermodulation distortion.
- In-band signal distortion will lead to a large adjacent channel leakage ratio (Adjacent Channel Leakage Ratio, ACLR), and the interference input signal is adjacent channel; the channel whose input signal would be disturbed by out-of-band intermodulation distortion.
- ACLR adjacent Channel Leakage Ratio
- the input signal can be generated by the transmitter, therefore, in-band intermodulation distortion and out-of-band intermodulation distortion must exist at the same time, but for different systems, the range of distortion that the transmitter needs to cancel is different , therefore, several pre-distortion scenarios can be preset to characterize the specific range of distortion that needs to be offset.
- the pre-distortion scenarios can include in-band intermodulation distortion compensation scenarios, in-band intermodulation distortion and partial out-of-band intermodulation distortion compensation scenarios , In-band intermodulation distortion and out-of-band intermodulation distortion compensation scenarios;
- the in-band intermodulation distortion compensation scene is the scene that needs to cancel the in-band intermodulation distortion
- the in-band intermodulation distortion and some out-of-band intermodulation distortion compensation scenarios are Scenarios in which in-band intermodulation distortion and some out-of-band intermodulation distortion need to be counteracted
- in-band intermodulation distortion and out-of-band intermodulation distortion compensation scenarios are scenarios in which in-band intermodulation distortion and out-of-band intermodulation distortion need to be counteracted.
- the sub-band signal and the feedback signal can be extracted from the intermediate frequency of the frequency band to be compensated.
- the specific frequency band can be selected according to actual needs, and there is no limitation here.
- the nonlinear distortion signal can be generated by the sub-band signal and the input signal.
- the input signal as a dual-band vector sum signal x(n) and third-order distortion as an example, the two sub-band signals are x 1 (n) and x 2 (n), the predistortion model is:
- the signal used to compensate the x 1 frequency band can be expressed as and
- the signal used to compensate x 2 frequency bands can be expressed as and in is the conjugate signal of x 1 (n), is the conjugate signal of x 2 (n), based on the above model, those skilled in the art can obtain three nonlinear distortion signals from the combination of the above expressions for compensating x 1 frequency band and x 2 frequency band, respectively x( n), and It can be understood that, for other predistortion scenarios, those skilled in the art are capable of obtaining corresponding nonlinear distortion signals according to the same principle, so details are not repeated here.
- step S220 before performing step S220 in the embodiment shown in FIG. 2 , it also includes but is not limited to the following steps:
- Step S310 updating the power amplifier distortion model according to the nonlinear distortion signal
- Step S320 updating the pre-distortion model according to the updated power amplifier distortion model.
- the obtained nonlinear distortion signal is also different.
- the method for updating the power amplifier distortion model in the three scenarios is as follows To illustrate, in the following example, the input signal x(n) is taken as an example of a dual-band vector sum signal, and two sub-band signals are separated and expressed by x 1 (n) and x 2 (n):
- the non-linear distortion signal x(n) that can be obtained and Then the power amplifier distortion model can be updated as or Based on the update of the above power amplifier model, the predistortion model can be fitted and updated as:
- the non-linear distortion signal x(n) that can be obtained and Then the power amplifier distortion model can be updated as or Based on the update of the above power amplifier model, the predistortion model can be fitted and updated as:
- the power amplifier distortion model can be updated as Based on the update of the above power amplifier distortion model, the predistortion model can be updated as:
- the flexible configuration of the power amplifier distortion model can be realized through different processing of the sub-band signal and the input signal, thereby updating the predistortion model , the updated pre-distortion model can obtain pre-distortion parameters for different pre-distortion scenarios, and the pre-distortion processing of multiple frequency bands can be realized through one pre-distortion parameter.
- the resources consumed effectively improve the performance of the communication equipment.
- step S310 in the embodiment shown in FIG. 3 also includes but is not limited to the following steps:
- Step S410 according to the pre-distortion scene and the input signal, determine the center of the target frequency point that needs to be pre-distorted
- Step S420 updating the power amplifier distortion model according to the nonlinear distortion signal corresponding to the center of the target frequency point.
- the range of frequency bands that can be pre-distorted is generally wide.
- the frequency range that needs to be pre-distorted can be determined according to the pre-distortion scene to reduce unnecessary calculation.
- the transmitter that generates the input signal works in three frequency bands.
- the PA will generate various nonlinear distortions in the three frequency bands. These nonlinear distortions are located in The frequency range can be determined by f1, f2, f3, since the input signal has three frequency bands, the input signal can be decomposed into three sub-band signals x 1 (n), x 2 (n) and x 3 (n),
- the frequency point center of the determined nonlinear distortion is f1+f2-f3
- the expression of the corresponding nonlinear distortion signal is If this distortion needs to be counteracted, then x A (n) in the power amplifier distortion model can be determined as x 2 (n), x B (n) can be determined as x 3 (n), and k 1 and k 2 are both set to 1 , and then according to the method of the embodiment shown in FIG. 3, a specific power amplifier distortion model is determined according to the pre-distortion scene.
- the expression of the nonlinear distortion signal is If you need to counteract this distortion, you need to determine x A (n) as x 3 (n), x B as x 1 (n), add x C (n) and determine it as x 2 (n), k 1 and k 2 are both set to 1, but the target center frequency point is far away from the frequency band to be processed. It can be determined whether to process the distortion according to the system requirements. If the distortion does not affect the system performance, the power amplifier distortion model can be omitted. x C (n), the number of specific power amplifier distortion models can be adjusted according to actual needs.
- step S140 in the embodiment shown in FIG. 1 also includes but is not limited to the following steps:
- Step S510 obtaining a nonlinear model according to the predistortion parameters and the nonlinear distortion signal
- Step S520 perform nonlinear distortion compensation on the signal of each frequency band in the input signal according to the nonlinear model, and determine the signal after nonlinear distortion compensation as the predistortion signal.
- nonlinear modeling method is not an improvement made in this embodiment, it only needs to be able to realize nonlinear distortion compensation according to the predistortion parameters and the nonlinear distortion signal.
- the nonlinear distortion compensation for each frequency band signal in the input signal can be determined according to the specific pre-distortion scenario, for example, in the in-band intermodulation distortion compensation scenario, where the nonlinear distortion signal is obtained from the divided frequency band signal, then it can be The non-linear distortion compensation is performed on each sub-band signal, so as to realize the pre-distortion processing of each frequency band of the input signal with one pre-distortion parameter, and improve the performance of the communication equipment.
- the predistortion signal can also be up-sampled according to the working frequency band of the PA, so that the frequency of the predistortion signal conforms to the frequency of the PA. Working frequency.
- an embodiment of the present application also provides a pre-distortion processing device, which is connected to PA640, including but not limited to the following modules:
- the signal separation module 610 is configured to obtain the input signal, and decompose the input signal into at least two sub-band signals;
- a signal sampling module 660 configured to obtain a feedback signal from the PA
- the pre-distortion parameter acquisition module 650 is configured to input the input signal, the feedback signal and at least two sub-band signals into the pre-distortion model to obtain the pre-distortion parameters;
- the pre-distortion processing module 620 is configured to perform pre-distortion processing on the input signal according to the pre-distortion parameters.
- modules in this embodiment may be functional modules in the digital domain, as long as they can realize the above functions, and this embodiment does not limit the specific digital circuit structure.
- the working principles of the signal separation module 610 , the signal sampling module 660 and the predistortion parameter acquisition module 650 can refer to the description of the embodiment shown in FIG. 1 , and will not be repeated here.
- the pre-distortion parameter acquisition module 650 also includes:
- the nonlinear distortion signal generation module 651 is configured to generate several nonlinear distortion signals according to the sub-band signal and the input signal according to the preset pre-distortion scene;
- the pre-distortion parameter calculation module 652 is configured to input the input signal, the feedback signal and the nonlinear distortion signal into the pre-distortion model to obtain the pre-distortion parameters.
- modules in this embodiment may be functional modules in the digital domain, as long as they can realize the above functions, and this embodiment does not limit the specific digital circuit structure.
- the predistortion parameter calculation module 652 also includes:
- the first update module 653 is configured to update the power amplifier distortion model according to the nonlinear distortion signal
- the second update module 656 is configured to update the pre-distortion model according to the updated power amplifier distortion model.
- modules in this embodiment may be functional modules in the digital domain, as long as they can realize the above functions, and this embodiment does not limit the specific digital circuit structure.
- the first update module 653 also includes:
- the target frequency point center determination module 654 is configured to determine the target frequency point center that needs to be pre-distorted according to the pre-distortion scene and the input signal;
- the third update module 655 is configured to update the power amplifier distortion model according to the nonlinear distortion signal corresponding to the center of the target frequency point.
- modules in this embodiment may be functional modules in the digital domain, as long as they can realize the above functions, and this embodiment does not limit the specific digital circuit structure.
- the pre-distortion processing module 620 also includes:
- the nonlinear modeling module 621 is configured to obtain a nonlinear model according to the predistortion parameters and the nonlinear distortion signal;
- the predistortion signal generating module 622 is configured to perform nonlinear distortion compensation on the signal of each frequency band in the input signal according to the nonlinear model, and determine the signal after nonlinear distortion compensation as the predistortion signal.
- modules in this embodiment may be functional modules in the digital domain, as long as they can realize the above functions, and this embodiment does not limit the specific digital circuit structure.
- an up-conversion module 630 in order to realize the up-sampling of the pre-distortion signal, an up-conversion module 630, the up-conversion module 630, the nonlinear modeling module 621 and the pre-distortion signal generation module 622 can also be arranged between the pre-distortion processing module 620 and the PA640
- the up-conversion module 630 in order to realize the up-sampling of the pre-distortion signal, an up-conversion module 630, the up-conversion module 630, the nonlinear modeling module 621 and the pre-distortion signal generation module 622 can also be arranged between the pre-distortion processing module 620 and the PA640
- the dual-band vector sum signal x(n) is used as the input signal
- the feedback signal obtained from the PA is the combined IF combined feedback signal
- the predistortion model is Both are pre-set power amplifier distortion models
- k 1 and k 2 are pre-set model orders
- func( ⁇ ) is a nonlinear basis
- y(n) is a feedback signal.
- Example 1 In-band intermodulation distortion compensation scenario.
- the pre-distortion processing system includes a signal separation module 910, a pre-distortion processing module 920, an up-conversion module 930, a PA940, a pre-distortion parameter extraction module 950 and a signal sampling module 960, wherein the pre-distortion processing module 920 also includes a pre-distortion
- the signal generation module 921, the pre-distortion parameter extraction module 950 also includes a pre-distortion parameter calculation module 951, for the simplicity of the example, the same signal generation module 970 is set in the pre-distortion processing module 920 and the pre-distortion parameter extraction module 950 respectively, and will not be described later repeat.
- the signal separation module 910 receives the dual-band vector sum signal x(n) from the upper link, decomposes x(n) into sub-band signals x 1 (n) and x 2 (n), and x( n), x 1 (n) and x 2 (n) are respectively input to the pre-distortion processing module 920 and the pre-distortion parameter extraction module 950;
- the signal generation module 970 in the pre-distortion processing module 920 and the pre-distortion parameter extraction module 950 generates a nonlinear distortion signal 1 and a nonlinear distortion signal 2 according to the received x(n), x 1 (n) and x 2 (n). and a two-dimensional nonlinear basis, where the nonlinear distortion signal 1 is The nonlinear distorted signal 2 is
- the pre-distortion parameter calculation module 951 in the pre-distortion parameter extraction module 950 updates the power amplifier distortion model as or Based on the update of the above power amplifier model, the predistortion model can be fitted and updated as:
- the signal sampling module 960 obtains several continuous sampling points from the power amplifier output signal y 1 (n) of the PA940 to obtain a combined feedback signal y 2 (n), and substitutes several intermediate frequency combined feedback signals y 2 (n) into the above y(n) in the expression thus obtains the value of the pre-distortion parameter ⁇ m , and sends the pre-distortion parameter ⁇ m to the pre-distortion signal generation module 921 in the pre-distortion processing module 920;
- the predistortion signal generating module 921 performs nonlinear modeling according to the predistortion parameter ⁇ m , the nonlinear distortion signal 1, the nonlinear distortion signal 2 and the two-dimensional nonlinear basis, and performs a nonlinear modeling for each frequency band of the dual-band vector sum signal x(n) Perform pre-distortion processing, determine the signal obtained by the pre-distortion processing as a pre-distortion signal z 1 (n), and input the pre-distortion signal z 1 (n) to the up-conversion module 930;
- the up-conversion module 930 performs up-sampling processing on the pre-distortion signal z 1 (n) according to the working frequency band of the PA940, and inputs the obtained pre-distortion signal z 2 (n) to the PA940 to obtain the power amplifier output signal y 1 (n).
- FIG. 10 is a signal spectrum diagram of Example 1, which includes an input signal 1010, an output signal without predistortion 1020, and an output signal with predistortion 1030. It can be seen that the output signal with predistortion 1030 is the same as that without predistortion. Compared with the distorted output signal 1020, pre-distortion processing is performed through the pre-distortion parameters to realize in-band nonlinear compensation of the input signal.
- Example 2 In-band intermodulation distortion and some out-of-band intermodulation distortion compensation scenarios:
- the pre-distortion processing system includes a signal separation module 1110, a pre-distortion processing module 1120, an up-conversion module 1130, a PA1140, a pre-distortion parameter extraction module 1150, and a signal sampling module 1160, wherein the pre-distortion processing module 1120 also includes a pre-distortion processing module 1120.
- the signal generation module 1121, the pre-distortion parameter extraction module 1150 also includes a pre-distortion parameter calculation module 1151, for the simplicity of the example, the same signal generation module 1170 is set in the pre-distortion processing module 1120 and the pre-distortion parameter extraction module 1150 respectively, and will not be described later repeat.
- the signal separation module 1110 receives the dual-band vector sum signal x(n) from the upper link, decomposes x(n) into sub-band signals x 1 (n) and x 2 (n), and x( n), x 1 (n) and x 2 (n) are respectively input to the pre-distortion processing module 1120 and the pre-distortion parameter extraction module 1150;
- the signal generation module 1170 in the pre-distortion processing module 1120 and the pre-distortion parameter extraction module 1150 generates the nonlinear distortion signal 3 and the nonlinear distortion signal 4 according to the received x(n), x 1 (n) and x 2 (n). and a two-dimensional nonlinear basis, where the nonlinear distortion signal 3 is The nonlinear distorted signal 2 is
- the pre-distortion parameter calculation module 1151 in the pre-distortion parameter extraction module 1150 updates the power amplifier distortion model or Based on the update of the above power amplifier model, the predistortion model can be fitted and updated as:
- the signal sampling module 1160 obtains several continuous sampling points from the power amplifier output signal y 1 (n) of the PA1140 to obtain a combined feedback signal y 2 (n), and substitutes several intermediate frequency combined feedback signals y 2 (n) into the above-mentioned y(n) in the expression thus obtains the value of the pre-distortion parameter ⁇ m , and sends the pre-distortion parameter ⁇ m to the pre-distortion signal generation module 1121 in the pre-distortion processing module 1120;
- the predistortion signal generation module 1121 performs nonlinear modeling according to the predistortion parameter ⁇ m , the nonlinear distortion signal 3, the nonlinear distortion signal 4 and the two-dimensional nonlinear basis, and performs each frequency band of the dual-band vector sum signal x(n) Perform pre-distortion processing, and determine the signal obtained by the pre-distortion processing as a pre-distortion signal z 1 (n), and input the pre-distortion signal z 1 (n) to the up-conversion module 1130;
- the up-conversion module 1130 performs up-sampling processing on the pre-distortion signal z 1 (n) according to the working frequency band of the PA1140, and inputs the obtained pre-distortion signal z 2 (n) to the PA1140 to obtain the power amplifier output signal y 1 (n).
- FIG. 12 is a signal spectrum diagram of Example 2, which includes an input signal 1210, an output signal without predistortion 1220, and an output signal with predistortion 1230. It can be seen that the output signal with predistortion 1230 is the same as that without predistortion. Compared with the distorted output signal 1220, pre-distortion processing is performed through the pre-distortion parameters to realize in-band and partial out-of-band nonlinear compensation of the input signal.
- Example 3 In-band intermodulation distortion and out-of-band intermodulation distortion compensation scenario:
- the pre-distortion processing system includes a signal separation module 1310, a pre-distortion processing module 1320, an up-conversion module 1330, a PA1340, a pre-distortion parameter extraction module 1350, and a signal sampling module 1360, wherein the pre-distortion processing module 1320 also includes a pre-distortion processing module 1320.
- the signal generation module 1321, the pre-distortion parameter extraction module 1350 also includes a pre-distortion parameter calculation module 1351, for the simplicity of the example, the same signal generation module 1370 is set in the pre-distortion processing module 1320 and the pre-distortion parameter extraction module 1350 respectively, and will not be described later repeat.
- the signal separation module 1310 receives the dual-band vector sum signal x(n) from the upper link, decomposes x(n) into sub-band signals x 1 (n) and x 2 (n), and x( n), x 1 (n) and x 2 (n) are respectively input to the pre-distortion processing module 1320 and the pre-distortion parameter extraction module 1350;
- the signal generation module 1370 in the pre-distortion processing module 1320 and the pre-distortion parameter extraction module 1350 generates a nonlinear distortion signal 6 and a two-dimensional nonlinear basis according to the received x(n), x 1 (n) and x 2 (n) , wherein, the nonlinear distortion signal 6 is x(n) ⁇ x * (n);
- the pre-distortion parameter calculation module 1351 in the pre-distortion parameter extraction module 1350 updates the power amplifier distortion model to be x k1 (nm) (x k1 (nm)) * , based on the update of the above-mentioned power amplifier distortion model, the pre-distortion model can be updated as:
- the signal sampling module 1360 obtains several continuous sampling points from the power amplifier output signal y 1 (n) of the PA1340 to obtain a combined feedback signal y 2 (n), and substitutes several intermediate frequency combined feedback signals y 2 (n) into the above-mentioned y(n) in the expression thus obtains the value of the pre-distortion parameter ⁇ m , and sends the pre-distortion parameter ⁇ m to the pre-distortion signal generation module 1321 in the pre-distortion processing module 1320;
- the predistortion signal generation module 1321 performs nonlinear modeling according to the predistortion parameter ⁇ m , the nonlinear distortion signal 3, the nonlinear distortion signal 4 and the two-dimensional nonlinear basis, and performs each frequency band of the dual-band vector sum signal x(n) Perform pre-distortion processing, and determine the signal obtained by the pre-distortion processing as a pre-distortion signal z 1 (n), and input the pre-distortion signal z 1 (n) to the up-conversion module 1330;
- the up-conversion module 1330 performs up-sampling processing on the pre-distortion signal z 1 (n) according to the working frequency band of the PA1340, and inputs the obtained pre-distortion signal z 2 (n) to the PA1340 to obtain a power amplifier output signal y 1 (n).
- FIG. 14 is a signal spectrum diagram of Example 2, which includes an input signal 1410, an output signal without predistortion 1420, and an output signal with predistortion 1430. It can be seen that the output signal with predistortion 1430 is the same as that without predistortion. Compared with the distorted output signal 1420, pre-distortion processing is performed through the pre-distortion parameters to realize in-band and out-of-band nonlinear compensation of the input signal.
- the communication device 1500 includes: a memory 1510 , a processor 1520 , and a computer program stored in the memory 1510 and operable on the processor 1520 .
- the processor 1520 and the memory 1510 may be connected through a bus or in other ways.
- the non-transitory software programs and instructions required to implement the pre-distortion processing method of the above-mentioned embodiment are stored in the memory 1510, and when executed by the processor 1520, the pre-distortion processing applied to the pre-distortion processing device in the above-mentioned embodiment is performed, For example, the method steps S110 to S140 in FIG. 1 described above, the method steps S210 to S220 in FIG. 2 , the method steps S310 to S320 in FIG. 3 , the method steps S410 to S420 in FIG. 4 and Step S510 to step S520 of the method in FIG. 5 .
- the device embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
- the method in the embodiment of the present application includes: acquiring an input signal, decomposing the input signal into at least two sub-frequency band signals; acquiring a feedback signal from the PA; combining the input signal, the feedback signal, and the at least two Input the sub-band signals to the pre-distortion model to obtain pre-distortion parameters; perform pre-distortion processing on the input signals according to the pre-distortion parameters.
- the predistortion parameters obtained through the predistortion model can realize predistortion processing of signals in multiple frequency bands, and effectively improve the efficiency of nonlinear compensation.
- an embodiment of the present application also provides a computer-readable storage medium, the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are executed by a processor or a controller, for example, by the above-mentioned Execution by a processor in the embodiment of the communication device can cause the above-mentioned processor to execute the pre-distortion processing method applied to the pre-distortion processing apparatus in the above-mentioned embodiment, for example, execute the method steps S110 to S140 in FIG. 1 described above , method steps S210 to S220 in FIG. 2 , method steps S310 to S320 in FIG. 3 , method steps S410 to S420 in FIG. 4 , and method steps S510 to S520 in FIG.
- Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cartridges, tape, magnetic disk storage or other magnetic storage devices, or can Any other medium used to store desired information and which can be accessed by a computer.
- communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media .
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Abstract
一种预失真处理方法及其装置、通信设备、存储介质,预失真处理方法应用于预失真处理装置,预失真处理装置与功率放大器PA相连接,方法包括:获取输入信号,将输入信号分解为至少两个分频段信号;获取来自PA的反馈信号;将输入信号、反馈信号和至少两个分频段信号输入至预失真模型以得到预失真参数;根据预失真参数对输入信号进行预失真处理。
Description
相关申请的交叉引用
本申请基于申请号为202110504512.1,申请日为2021年05月10日的中国专利申请提出,并要求该中国专利申请的优先权,该中国专利申请的全部内容在此引入本申请作为参考。
本申请涉及但不限于信号处理领域,尤其涉及一种预失真处理方法及其装置、通信设备、存储介质。
随着通信技术的发展和用户需求的提高,无线通信的频谱资源日益紧张,超带宽、多频段、多制式的应用场景日益广泛。功率放大器(Power Amplify,PA)是射频处理单元(Radio Remote Unit,RRU)等通信设备中必不可少的核心部件。PA的非线性和记忆效应会引起输出信号的幅度畸变和相位畸变,这种畸变称为非线性失真,非线性失真包括带内互调失真和带外互调失真。
PA线性化技术是对非线性失真进行补偿的关键技术,通常会在PA之前增加数字预失真技术(Digital Pre-Distortion,DPD)模块,DPD模块中的数字预失真电路根据预失真参数产生非线性量,与PA产生的非线性量相互抵消,达到改善PA输出信号线性度的效果。
对于常见的数字预失真处理***,预失真参数通常从零频进行提取,因此需要为每个频段配置一个数字预失真电路,以分别对每个频段的非线性失真进行补偿。但是预失真参数的提取需要较多的存储和计算资源,数量较多时指标收敛速度较慢,影响通信设备的性能。
发明内容
以下是对本文详细描述的主题的概述。本概述并非是为了限制权利要求的保护范围。
本申请实施例提供了一种预失真处理方法及其装置、通信设备、存储介质。
第一方面,本申请实施例提供了一种预失真处理方法,应用于预失真处理装置,所述预失真处理装置与PA相连接,其中,所述预失真处理方法包括:获取输入信号,将所述输入信号分解为至少两个分频段信号;获取来自所述PA的反馈信号;将所述输入信号、所述反馈信号和所述至少两个分频段信号输入至预失真模型以得到预失真参数;根据所述预失真参数对所述输入信号进行预失真处理。
第二方面,本申请实施例提供了一种预失真处理装置,所述预失真处理装置与PA相连接,其中,所述预失真处理装置包括:信号分离模块,被设置为获取输入信号,将所述输入信号分解为至少两个分频段信号;信号采样模块,被设置为获取来自所述PA的反馈信号;预失真参数获取模块,被设置为将所述输入信号、所述反馈信号和所述至少两个分频段信号输入至预失真模型以得到预失真参数;预失真处理模块,被设置为根据所述预失真参数对所述输入信号进行预失真处理。
第三方面,本申请实施例提供了一种通信设备,包括:存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序,其中,所述处理器执行所述计算机程序时实现如第一方面所述的预失真处理方法。
本申请的其它特征和优点将在随后的说明书中阐述,并且,部分地从说明书中变得显而易见,或者通过实施本申请而了解。本申请的目的和其他优点可通过在说明书、权利要求书以及附图中所特别指出的结构来实现和获得。
附图用来提供对本申请技术方案的进一步理解,并且构成说明书的一部分,与本申请的实施例一起用于解释本申请的技术方案,并不构成对本申请技术方案的限制。
图1是本申请一个实施例提供的预失真处理方法的流程图;
图2是本申请另一个实施例提供的根据非线性失真信号更新预失真模型的流程图;
图3是本申请另一个实施例提供的根据功放失真模型更新预失真模型的流程图;
图4是本申请另一个实施例提供的更新根据功放失真模型的流程图;
图5是本申请另一个实施例提供的得到预失真信号的流程图;
图6是本申请另一个实施例提供的预失真处理装置的示意图;
图7是本申请另一个实施例提供的预失真参数获取模块的示意图;
图8是本申请另一个实施例提供的预失真处理模块的示意图;
图9是本申请示例一的预失真处理装置的示意图;
图10是本申请示例一的频谱示意图;
图11是本申请示例二的预失真处理装置的示意图;
图12是本申请示例二的频谱示意图;
图13是本申请示例三的预失真处理装置的示意图;
图14是本申请示例三的频谱示意图;
图15是本申请另一个实施例提供的通信设备的装置图。
为了使本申请的目的、技术方案及优点更加清楚明白,以下结合附图及实施例,对本申请进行进一步详细说明。应当理解,此处所描述的具体实施例仅用以解释本申请,并不用于限定本申请。
需要说明的是,虽然在装置示意图中进行了功能模块划分,在流程图中示出了逻辑顺序,但是在某些情况下,可以以不同于装置中的模块划分,或流程图中的顺序执行所示出或描述的步骤。说明书、权利要求书或上述附图中的术语“第一”、“第二”等是用于区别类似的对象,而不必用于描述特定的顺序或先后次序。
本申请实施例提供了一种预失真处理方法及其装置、通信设备、存储介质,该预失真处理方法包括:获取输入信号,将所述输入信号分解为至少两个分频段信号;获取来自所述PA的反馈信号;将所述输入信号、所述反馈信号和所述至少两个分频段信号输入至预失真模型以得到预失真参数;根据所述预失真参数对所述输入信号进行预失真处理。根据本申请实施例提供的方案,通过预失真模型得到的预失真参数能够实现多个频段信号的预失真处理,有效提高非线性补偿的效率。
下面结合附图,对本申请实施例作进一步阐述。
如图1所示,图1是本申请一个实施例提供的一种预失真处理方法,应用于预失真处理装置,预失真处理装置与功率放大器PA相连接,预失真处理方法包括但不限于步骤S110、步骤 S120、步骤S130和步骤S140。
步骤S110,获取输入信号,将输入信号分解为至少两个分频段信号。
需要说明的是,输入信号可以是来自于上一级链路的多频段矢量和信号,将多频段矢量和信号分解为至少两个多频段信号的方法可以根据实际需求确定,例如根据多频段矢量和信号中的载波进行分解,本实施例对此不多作限定。可以理解的是,输入信号可以是能被分解为至少两个分频段信号的多频段矢量和信号,当然也可以是单频段信号,为了体现本申请技术方案实现多个频段信号的预失真处理的效果,若无特殊说明,本申请实施例中的输入信号为多频段矢量和信号,后续不多作赘述。
步骤S120,获取来自PA的反馈信号。
需要说明的是,PA的反馈信号可以通过射频信号采样装置获取,从PA输出的放大后的模拟信号中提取出反馈信号,本实施例对反馈信号的具体采集方式不多作限定。
可以理解的是,反馈信号可以是带失真的矢量和信号,例如从PA输出的模拟信号中,根据所要进行预失真的频段提取出的中频合路反馈信号。
步骤S130,将输入信号、反馈信号和至少两个分频段信号输入至预失真模型以得到预失真参数。
需要说明的是,输入信号、反馈信号和至少两个分频段信号输入至预失真模型后,可以直接用于计算出预失真参数,也可以对任一信号进行处理之后,再用于预失真参数的计算,例如根据预失真的场景,对两个分频段信号进行共轭处理,具体的方式根据实际的预失真模型处理即可,本实施例对此不多作限定。
值得注意的是,预失真模型可以是固定的模型,也可以是能够根据不同的输入实现灵活配置的模型,例如可以根据分频段信号实现预失真模型的灵活配置,根据需要进行预失真处理的频段调整分频段信号的共轭方式,从而得到不同的非线性失真信号,非线性失真信号不同,输入预失真模型后得到的预失真参数不同,通过预失真模型的灵活配置,能够使得该预失真模型能够适用于更多的预失真场景。
需要说明的是,通过分频段信号的数量和处理方式的调整,根据预失真模型得出的预失真参数能够用于不同的频段的非线性补偿,因此采用本实施例的技术方案,能够减少通信设备的预失真参数的数量,提高非线性补偿的效率,提高通信设备的性能。
步骤S140,根据预失真参数对输入信号进行预失真处理。
需要说明的是,可以通过非线性建模的方式,对通过输入信号分解得到的至少两个分频段分别进行预失真处理以得预失真信号,也可以根据预失真参数对输入信号中需要进行预处理的频段进行预失真处理,本实施例对根据预失真参数进行预失真处理的具体方法并不多作限定,根据实际需求选取即可。可以理解的是,上述所述的非线性建模可以采用常用的建模方式,本实施例并不涉及具体的非线性建模方法改进,能够根据预失真参数对输入信号进行预失真处理即可,在此不多作赘述。
另外,在另一实施例中,预失真模型为:
需要说明的是,参考上述表达式,y(n)为反馈信号,能够通过射频采样的方式获取,即所 得到的y(n)为已知的参数,而M、k
1、k
2、func(·)、
和
均为预先已知的参数,因此可以通过射频采样的方式获取合路反馈信号y(n),从而计算出预失真参数α
m,具体的计算方式并非本实施例的改进,在此不多作赘述。
需要说明的是,记忆深度可以根据通信设备的资源预先设定,通过上述表达式可知,记忆深度的数值越大,其计算量越大,所需要消耗的资源越多,所得到的预失真参数的准确性更高,因此,本领域技术人员有动机根据通信设备的可用资源进行调整,在此不多作限定。
需要说明的是,本领域技术人员有动机根据需要抵消失真频段对模型阶数的数量和数值进行调整,例如信号发射带宽的为20兆赫兹,需要通过预失真处理抵消的频段的带宽为60兆赫兹,则可以仅设定一个k
1,且数值为1;又如,需要通过预失真处理抵消的频段的带宽为100兆赫兹,则可以同时选取k
1和k
2,且数值均为2,上述举例仅为了表示模型阶数的数量和数值是可以根据实际需求调整的,并不会对本实施例的技术方案造成限制。
需要说明的是,非线性基底和功放失真模型可以根据实际需求确定,例如通过分频段信号和需要进行预失真的场景进行确定,通过功放失真模型的灵活配置,实现预失真模型的灵活配置,从而使得得到的预失真参数能够对更多频段的信号进行预失真处理。
另外,参照图2,在一实施例中,图1所示实施例中的步骤S130,还包括但不限于有以下步骤:
步骤S210,根据预先设定的预失真场景,根据分频段信号和输入信号生成若干个非线性失真信号;
步骤S220,将输入信号、反馈信号和非线性失真信号输入至预失真模型以得到预失真参数。
需要说明的是,当根据若干个分频段信号或输入信号生成非线性失真信号,能够实现功放失真模型的灵活配置,以实现预失真模型得到的预失真参数能够对多个频段进行非线性补偿。
需要说明的是,非线性失真可分为带内互调失真和带外互调失真,带内信号失真会导致相邻频道泄漏比(Adjacent Channel Leakage Ratio,ACLR)较大,干扰输入信号相邻的信道;带外互调失真会干扰其输入信号的信道。本领域技术人员可以得知,输入信号可以由发射机生成,因此,带内互调失真和带外互调失真是必然同时存在的,但是对于不同的***,发射机所需要抵消的失真范围不同,因此,可以预先设定若干个预失真场景以表征具体需要抵消的失真范围,例如,预失真场景可以包括带内互调失真补偿场景、带内互调失真和部分带外互调失真补偿场景、带内互调失真和带外互调失真补偿场景;其中,带内互调失真补偿场景为需要抵消带内互调失真的场景,带内互调失真和部分带外互调失真补偿场景为需要抵消带内互调失真和一部分带外互调失真的场景,带内互调失真和带外互调失真补偿场景为需要抵消带内互调失真和带外互调失真的场景。
需要说明的是,若仅在零频提取预失真参数进行非线性失真补偿,则需要设置多个预失真模块进行预失真处理,还需要执行诸如移频等额外的操作,资源消耗较高,因此,为了减少预失真处理的资源消耗,可以从所需要补偿的频段的中频提取分频段信号和反馈信号,具体的频段根据实际需求选取即可,在此不多作限定。
需要说明的是,非线性失真信号可以通过分频段信号和输入信号生成,例如,以输入信号为双频段矢量和信号x(n)和三阶失真为例,两个分频段信号分别为x
1(n)和x
2(n),预失真模型为:
在带内互调失真补偿场景下,用于补偿x
1频段的信号可以表达为
和
用于补偿x
2频段的信号可以表达为
和
其中
为x
1(n)的共轭信号,
为x
2(n)的共轭信号,基于上述模型,本领域技术人员可以从通过对上述用于补偿x
1频段和x
2频段表达式的组合得到三个非线性失真信号,分别为x(n)、
和
可以理解的是,对于其他预失真场景,本领域技术人员有能力根据相同的原理得到对应的非线性失真信号,在此不多作赘述。
另外,参照图3,在一实施例中,在执行图2所示实施例中的步骤S220之前,还包括但不限于有以下步骤:
步骤S310,根据非线性失真信号更新功放失真模型;
步骤S320,根据更新后的功放失真模型更新预失真模型。
值得注意的是,根据预失真场景的不同,所得到的非线性失真信号也有所不同,参考图2中所述实施例得到的非线性失真信号,以下对三个场景中更新功放失真模型的方法进行举例说明,在下述示例中,输入信号x(n)以双频段矢量和信号为例,分离得到两个分频段信号用x
1(n)和x
2(n)表述:
带内互调失真补偿场景:
带内互调失真和部分带外互调失真补偿场景:
带内互调失真和带外互调失真补偿场景:
值得注意的是,通过上述三种场景中的表达式可以看出,对于不同的预失真场景,通过分 频段信号和输入信号的不同处理,能够实现功放失真模型的灵活配置,从而更新预失真模型,更新后的预失真模型能够得到针对不同的预失真场景的预失真参数,通过一个预失真参数即可实现多个频段的预失真处理,通过减少预失真参数的数量减少了提取预失真参数所耗费的资源,有效提高了通信设备的性能。
另外,在一实施例中,非线性失真信号的数量至少为二,参照图4,图3所示实施例中的步骤S310,还包括但不限于有以下步骤:
步骤S410,根据预失真场景和输入信号确定需要进行预失真处理的目标频点中心;
步骤S420,根据与目标频点中心所对应的非线性失真信号更新功放失真模型。
需要说明的是,对于输入信号而言,可以进行预失真处理的频段范围通常较广,为了实现资源的节约,可以先根据预失真场景确定出需要进行预失真处理的频率范围,以减少不必要的计算。
例如,产生输入信号的发射机工作在三个频段,根据三个频段所发射的载波的中心频点f1、f2和f3,PA在三个频段会产生多种非线性失真,这些非线性失真所在的频率范围可以通过f1,f2,f3来确定,由于输入信号有三个频段,因此可以将输入信号分解为三个分频段信号x
1(n)、x
2(n)和x
3(n),当根据确定非线性失真的频点中心是f1+f2-f3,则对应的非线性失真信号的表达式为
如果需要抵消这个失真,那么就可以将功放失真模型中的x
A(n)确定为x
2(n),x
B(n)确定为x
3(n),k
1和k
2均设为1,再根据图3中所示实施例的方法,根据预失真场景确定具体的功放失真模型。
又如,当根据确定非线性失真的频点中心是f3+f3-f1-f2,非线性失真信号的表达式为
如果需要抵消这个失真,需要将x
A(n)确定为x
3(n),x
B确定为x
1(n),另外增加x
C(n),并确定为x
2(n),k
1和k
2均设为1,但是目标中心频点距离需要处理的频带范围较远,可以根据***需求确定是否处理该失真,若该失真并不会对***性能造成影响,可以省去功放失真模型x
C(n),具体的功放失真模型的数量根据实际需求调整即可。
另外,参照图5,在一实施例中,图1所示实施例中的步骤S140,还包括但不限于有以下步骤:
步骤S510,根据预失真参数和非线性失真信号得到非线性模型;
步骤S520,根据非线性模型对输入信号中每个频段的信号进行非线性失真补偿,将非线性失真补偿后的信号确定为预失真信号。
需要说明的是,具体的非线性建模方法并非本实施例作出的改进,能够根据预失真参数和非线性失真信号实现非线性失真补偿即可。
可以理解的是,对输入信号中每个频段的信号进行非线性失真补偿,可以根据具体的预失真场景确定,例如带内互调失真补偿场景,非线性失真信号由分频段信号得到,则可以对每个分频段信号进行非线性失真补偿,从而实现以一个预失真参数完成输入信号每个频段的预失真处理,提高通信设备的性能。
需要说明的是,由于每个PA的工作频段并不相同,因此在得到预失真信号之后,还可以根据PA的工作频段,对预失真信号进行上采样,从而使预失真信号的频率符合PA的工作频段。
另外,参照图6,本申请的一个实施例还提供了一种预失真处理装置,该预失真处理装置与PA640相连接,包括但不限于有以下模块:
信号分离模块610,被设置为获取输入信号,将输入信号分解为至少两个分频段信号;
信号采样模块660,被设置为获取来自PA的反馈信号;
预失真参数获取模块650,被设置为将输入信号、反馈信号和至少两个分频段信号输入至预失真模型以得到预失真参数;
预失真处理模块620,被设置为根据预失真参数对输入信号进行预失真处理。
需要说明的是,本实施例中的模块可以是数字域的功能模块,能够实现上述功能即可,本实施例并不对具体的数字电路结构作出限定。
需要说明的是,信号分离模块610、信号采样模块660和预失真参数获取模块650的工作原理可以参考图1所示实施例的描述,在此不多作赘述。
另外,参照图7,预失真参数获取模块650还包括:
非线性失真信号生成模块651,被设置为根据预先设定的预失真场景,根据分频段信号和输入信号生成若干个非线性失真信号;
预失真参数计算模块652,被设置为将输入信号、反馈信号和非线性失真信号输入预失真模型以得到预失真参数。
需要说明的是,本实施例中的模块可以是数字域的功能模块,能够实现上述功能即可,本实施例并不对具体的数字电路结构作出限定。
需要说明的是,非线性失真信号生成模块651和预失真参数计算模块652的工作原理可以参考图2所示实施例的描述,在此不多作赘述。
另外,参照图7,预失真参数计算模块652还包括:
第一更新模块653,被设置为根据非线性失真信号更新功放失真模型;
第二更新模块656,被设置为根据更新后的功放失真模型更新预失真模型。
需要说明的是,本实施例中的模块可以是数字域的功能模块,能够实现上述功能即可,本实施例并不对具体的数字电路结构作出限定。
需要说明的是,第一更新模块653和第二更新模块656的工作原理可以参考图3所示实施例的描述,在此不多作赘述。
另外,参照图7,第一更新模块653还包括:
目标频点中心确定模块654,被设置为根据预失真场景和输入信号确定需要进行预失真处理的目标频点中心;
第三更新模块655,被设置为根据与目标频点中心所对应的非线性失真信号更新功放失真模型。
需要说明的是,本实施例中的模块可以是数字域的功能模块,能够实现上述功能即可,本实施例并不对具体的数字电路结构作出限定。
需要说明的是,目标频点中心确定模块654和第三更新模块655的工作原理可以参考图4所示实施例的描述,在此不多作赘述。
另外,参照图6和8,预失真处理模块620还包括:
非线性建模模块621,被设置为根据预失真参数和非线性失真信号得到非线性模型;
预失真信号生成模块622,被设置为根据非线性模型对输入信号中每个频段的信号进行非线性失真补偿,将非线性失真补偿后的信号确定为预失真信号。
需要说明的是,本实施例中的模块可以是数字域的功能模块,能够实现上述功能即可,本实施例并不对具体的数字电路结构作出限定。
可以理解的是,为了实现预失真信号的上采样,还可以在预失真处理模块620和PA640之间设置上变频模块630,上变频模块630、非线性建模模块621和预失真信号生成模块622的工 作原理可以参考图5所示实施例的描述,在此不多作赘述。
为了进一步说明本申请实施例的技术方案,以下以3个预失真处理***的具体示例进行举例说明。为了叙述简便,在下述示例中,以双频段矢量和信号x(n)为输入信号,从PA获取的反馈信号为合路中频合路反馈信号,预失真模型为
均为预先设定的功放失真模型,k
1和k
2为预先设定的模型阶数,func(·)为非线性基底,y(n)为反馈信号。
示例一:带内互调失真补偿场景。
参考图9,预失真处理***包括信号分离模块910、预失真处理模块920、上变频模块930、PA940、预失真参数提取模块950和信号采样模块960,其中,预失真处理模块920还包括预失真信号生成模块921,预失真参数提取模块950还包括预失真参数计算模块951,为了示例的简便,分别在预失真处理模块920和预失真参数提取模块950设置相同的信号生成模块970,后续不再赘述。
信号分离模块910接收到来自于上一级链路的双频段矢量和信号x(n),将x(n)分解为分频段信号x
1(n)和x
2(n),并将x(n)、x
1(n)和x
2(n)分别输入至预失真处理模块920和预失真参数提取模块950;
预失真处理模块920和预失真参数提取模块950中的信号生成模块970根据接收到的x(n)、x
1(n)和x
2(n)生成非线性失真信号1、非线性失真信号2和二维非线性基底,其中,非线性失真信号1为
非线性失真信号2为
信号采样模块960从PA940的功放输出信号y
1(n)中获取连续的若干个采样点,得到合路反馈信号y
2(n),将若干个中频合路反馈信号y
2(n)代入上述表达式中的y(n)从而得到预失真参数α
m的值,并将预失真参数α
m发送至预失真处理模块920中的预失真信号生成模块921;
预失真信号生成模块921根据预失真参数α
m、非线性失真信号1、非线性失真信号2和二维非线性基底进行非线性建模,对双频段矢量和信号x(n)的每个频段进行预失真处理,将预失真处理得到的信号确定为预失真信号z
1(n),将预失真信号z
1(n)输入至上变频模块930;
上变频模块930根据PA940的工作频段,对预失真信号z
1(n)进行上采样处理,将得到的预失真信号z
2(n)输入至PA940,得到功放输出信号y
1(n)。
参照图10,图10为示例一的信号频谱图,在该信号频谱图中包括输入信号1010,无预失真输出信号1020,预失真输出信号1030,可以看出,预失真输出信号1030与无预失真输出信号1020相比,通过预失真参数进行预失真处理,实现了输入信号的带内非线性补偿。
示例二:带内互调失真和部分带外互调失真补偿场景:
参考图11,预失真处理***包括信号分离模块1110、预失真处理模块1120、上变频模块1130、PA1140、预失真参数提取模块1150和信号采样模块1160,其中,预失真处理模块1120还包括预失真信号生成模块1121,预失真参数提取模块1150还包括预失真参数计算模块1151,为了示例的简便,分别在预失真处理模块1120和预失真参数提取模块1150设置相同的信号生成模块1170,后续不再赘述。
信号分离模块1110接收到来自于上一级链路的双频段矢量和信号x(n),将x(n)分解为分频段信号x
1(n)和x
2(n),并将x(n)、x
1(n)和x
2(n)分别输入至预失真处理模块1120和预失真参数提取模块1150;
预失真处理模块1120和预失真参数提取模块1150中的信号生成模块1170根据接收到的x(n)、x
1(n)和x
2(n)生成非线性失真信号3、非线性失真信号4和二维非线性基底,其中,非线性失真信号3为
非线性失真信号2为
信号采样模块1160从PA1140的功放输出信号y
1(n)中获取连续的若干个采样点,得到合路反馈信号y
2(n),将若干个中频合路反馈信号y
2(n)代入上述表达式中的y(n)从而得到预失真参数α
m的值,并将预失真参数α
m发送至预失真处理模块1120中的预失真信号生成模块1121;
预失真信号生成模块1121根据预失真参数α
m、非线性失真信号3、非线性失真信号4和二维非线性基底进行非线性建模,对双频段矢量和信号x(n)的每个频段进行预失真处理,并将预失真处理得到的信号确定为预失真信号z
1(n),将预失真信号z
1(n)输入至上变频模块1130;
上变频模块1130根据PA1140的工作频段,对预失真信号z
1(n)进行上采样处理,将得到的预失真信号z
2(n)输入至PA1140,得到功放输出信号y
1(n)。
参照图12,图12为示例二的信号频谱图,在该信号频谱图中包括输入信号1210,无预失真输出信号1220,预失真输出信号1230,可以看出,预失真输出信号1230与无预失真输出信号1220相比,通过预失真参数进行预失真处理,实现了输入信号的带内和部分带外的非线性补偿。
示例三:带内互调失真和带外互调失真补偿场景:
参考图13,预失真处理***包括信号分离模块1310、预失真处理模块1320、上变频模块1330、PA1340、预失真参数提取模块1350和信号采样模块1360,其中,预失真处理模块1320还包括预失真信号生成模块1321,预失真参数提取模块1350还包括预失真参数计算模块1351,为了示例的简便,分别在预失真处理模块1320和预失真参数提取模块1350设置相同的信号生成模块1370,后续不再赘述。
信号分离模块1310接收到来自于上一级链路的双频段矢量和信号x(n),将x(n)分解为分频 段信号x
1(n)和x
2(n),并将x(n)、x
1(n)和x
2(n)分别输入至预失真处理模块1320和预失真参数提取模块1350;
预失真处理模块1320和预失真参数提取模块1350中的信号生成模块1370根据接收到的x(n)、x
1(n)和x
2(n)生成非线性失真信号6和二维非线性基底,其中,非线性失真信号6为x(n)×x
*(n);
预失真参数提取模块1350中的预失真参数计算模块1351更新功放失真模型为x
k1(n-m)(x
k1(n-m))
*,基于上述功放失真模型的更新,预失真模型可以更新为:
信号采样模块1360从PA1340的功放输出信号y
1(n)中获取连续的若干个采样点,得到合路反馈信号y
2(n),将若干个中频合路反馈信号y
2(n)代入上述表达式中的y(n)从而得到预失真参数α
m的值,并将预失真参数α
m发送至预失真处理模块1320中的预失真信号生成模块1321;
预失真信号生成模块1321根据预失真参数α
m、非线性失真信号3、非线性失真信号4和二维非线性基底进行非线性建模,对双频段矢量和信号x(n)的每个频段进行预失真处理,并将对预失真处理得到的信号确定为预失真信号z
1(n),将预失真信号z
1(n)输入至上变频模块1330;
上变频模块1330根据PA1340的工作频段,对预失真信号z
1(n)进行上采样处理,将得到的预失真信号z
2(n)输入至PA1340,得到功放输出信号y
1(n)。
参照图14,图14为示例二的信号频谱图,在该信号频谱图中包括输入信号1410,无预失真输出信号1420,预失真输出信号1430,可以看出,预失真输出信号1430与无预失真输出信号1420相比,通过预失真参数进行预失真处理,实现了输入信号的带内和带外的非线性补偿。
另外,参照图15,本申请的一个实施例还提供了一种通信设备,该通信设备1500包括:存储器1510、处理器1520及存储在存储器1510上并可在处理器1520上运行的计算机程序。
处理器1520和存储器1510可以通过总线或者其他方式连接。
实现上述实施例的预失真处理方法所需的非暂态软件程序以及指令存储在存储器1510中,当被处理器1520执行时,执行上述实施例中的应用于预失真处理装置的预失真处理,例如,执行以上描述的图1中的方法步骤S110至步骤S140、图2中的方法步骤S210至步骤S220、图3中的方法步骤S310至步骤S320、图4中的方法步骤S410至步骤S420和图5中的方法步骤S510至步骤S520。以上所描述的装置实施例仅仅是示意性的,其中作为分离部件说明的单元可以是或者也可以不是物理上分开的,即可以位于一个地方,或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。
本申请实施例的方法包括:获取输入信号,将所述输入信号分解为至少两个分频段信号;获取来自所述PA的反馈信号;将所述输入信号、所述反馈信号和所述至少两个分频段信号输入至预失真模型以得到预失真参数;根据所述预失真参数对所述输入信号进行预失真处理。根据本申请实施例提供的方案,通过预失真模型得到的预失真参数能够实现多个频段信号的预失真处理,有效提高非线性补偿的效率。
此外,本申请的一个实施例还提供了一种计算机可读存储介质,该计算机可读存储介质存储有计算机可执行指令,该计算机可执行指令被一个处理器或控制器执行,例如,被上述通信设备实施例中的一个处理器执行,可使得上述处理器执行上述实施例中的应用于预失真处理装置的预失真处理方法,例如,执行以上描述的图1中的方法步骤S110至步骤S140、图2中的方法步骤S210至步骤S220、图3中的方法步骤S310至步骤S320、图4中的方法步骤S410至步 骤S420和图5中的方法步骤S510至步骤S520。本领域普通技术人员可以理解,上文中所公开方法中的全部或某些步骤、***可以被实施为软件、固件、硬件及其适当的组合。某些物理组件或所有物理组件可以被实施为由处理器,如中央处理器、数字信号处理器或微处理器执行的软件,或者被实施为硬件,或者被实施为集成电路,如专用集成电路。这样的软件可以分布在计算机可读介质上,计算机可读介质可以包括计算机存储介质(或非暂时性介质)和通信介质(或暂时性介质)。如本领域普通技术人员公知的,术语计算机存储介质包括在用于存储信息(诸如计算机可读指令、数据结构、程序模块或其他数据)的任何方法或技术中实施的易失性和非易失性、可移除和不可移除介质。计算机存储介质包括但不限于RAM、ROM、EEPROM、闪存或其他存储器技术、CD-ROM、数字多功能盘(DVD)或其他光盘存储、磁盒、磁带、磁盘存储或其他磁存储装置、或者可以用于存储期望的信息并且可以被计算机访问的任何其他的介质。此外,本领域普通技术人员公知的是,通信介质通常包含计算机可读指令、数据结构、程序模块或者诸如载波或其他传输机制之类的调制数据信号中的其他数据,并且可包括任何信息递送介质。
以上是对本申请的若干实施方式进行了具体说明,但本申请并不局限于上述实施方式,熟悉本领域的技术人员在不违背本申请精神的前提下还可作出种种的等同变形或替换,这些等同的变形或替换均包含在本申请权利要求所限定的范围内。
Claims (14)
- 一种预失真处理方法,应用于预失真处理装置,所述预失真处理装置与功率放大器PA相连接,其中,所述预失真处理方法包括:获取输入信号,将所述输入信号分解为至少两个分频段信号;获取来自所述PA的反馈信号;将所述输入信号、所述反馈信号和所述至少两个分频段信号输入至预失真模型以得到预失真参数;根据所述预失真参数对所述输入信号进行预失真处理。
- 根据权利要求2所述的方法,其中,所述将所述输入信号、所述反馈信号和所述至少两个分频段信号输入至预失真模型以得到预失真参数,包括:根据预先设定的预失真场景,根据所述分频段信号和所述输入信号生成若干个非线性失真信号;将所述输入信号、所述反馈信号和所述非线性失真信号输入至所述预失真模型以得到所述预失真参数。
- 根据权利要求3所述的方法,其中,在所述将所述输入信号、所述反馈信号和所述非线性失真信号输入所述预失真模型以得到所述预失真参数之前,所述方法还包括:根据所述非线性失真信号更新所述功放失真模型;根据更新后的所述功放失真模型更新所述预失真模型。
- 根据权利要求4所述的方法,其中,所述根据所述非线性失真信号更新所述功放失真模型,包括:根据所述预失真场景和所述输入信号确定需要进行预失真处理的目标频点中心;根据与所述目标频点中心所对应的非线性失真信号更新所述功放失真模型。
- 根据权利要求3所述的方法,其中,所述根据所述预失真参数对所述输入信号进行预失真处理,包括:根据所述预失真参数和所述非线性失真信号得到非线性模型;根据所述非线性模型对所述输入信号中每个频段的信号进行非线性失真补偿,将非线性失真补偿后的信号确定为预失真信号。
- 一种预失真处理装置,所述预失真处理装置与PA相连接,其中,所述预失真处理装置包括:信号分离模块,被设置为获取输入信号,将所述输入信号分解为至少两个分频段信号;信号采样模块,被设置为获取来自所述PA的反馈信号;预失真参数获取模块,被设置为将所述输入信号、所述反馈信号和所述至少两个分频段信号输入至预失真模型以得到预失真参数;预失真处理模块,被设置为根据所述预失真参数对所述输入信号进行预失真处理。
- 根据权利要求8所述的装置,其中,所述预失真参数获取模块还包括:非线性失真信号生成模块,被设置为根据预先设定的预失真场景,根据所述分频段信号和所述输入信号生成若干个非线性失真信号;预失真参数计算模块,被设置为将所述输入信号、所述反馈信号和所述非线性失真信号输入至所述预失真模型以得到所述预失真参数。
- 根据权利要求9所述的装置,其中,所述预失真参数计算模块还包括:第一更新模块,被设置为根据所述非线性失真信号更新所述功放失真模型;第二更新模块,被设置为根据更新后的所述功放失真模型更新所述预失真模型。
- 根据权利要求10所述的装置,其中,所述第一更新模块还包括:目标频点中心确定模块,被设置为根据所述预失真场景和所述输入信号确定需要进行预失真处理的目标频点中心;第三更新模块,被设置为根据与所述目标频点中心所对应的非线性失真信号更新所述功放失真模型。
- 根据权利要求9所述的装置,其中,所述预失真处理模块还包括:非线性建模模块,被设置为根据所述预失真参数和所述非线性失真信号得到非线性模型;预失真信号生成模块,被设置为根据所述非线性模型对所述输入信号中每个频段的信号进行非线性失真补偿,将非线性失真补偿后的信号确定为预失真信号。
- 一种通信设备,包括:存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序,其中,所述处理器执行所述计算机程序时实现如权利要求1至6中任意一项所述的预失真处理方法。
- 一种计算机可读存储介质,存储有计算机可执行指令,其中,所述计算机可执行指令用于执行如权利要求1至6中任意一项所述的预失真处理方法。
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