CN104796364B - A kind of pre-distortion parameters acquiring method and pre-distortion system - Google Patents
A kind of pre-distortion parameters acquiring method and pre-distortion system Download PDFInfo
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Abstract
The invention discloses a kind of pre-distortion parameters acquiring method and pre-distortion system, it is related to digital predistortion signal process field, when needing signal bandwidth to be processed larger, still can guarantee that the signal processing quality of digital pre-distortion.This method includes：After periodicity DPD digital pre-distortions start, pre-distorted signals of the collection Jing Guo pre-distortion and the first feedback signal by power amplifier processing when each cycle starts；In each end cycle, all first feedback signals gathered in this cycle are subjected to the second feedback signal corresponding to pretreatment formation one by one；The matrix formed according to all second feedback signals and the matrix formed according to all pre-distorted signals determine all pre-distortion parameters；Pre-distortion parameters concordance list is updated according to the pre-distortion parameters of determination.
Description
Technical field
The present invention relates to digital predistortion signal process field, and in particular to a kind of pre-distortion parameters acquiring method and pre- mistake
True processing system.
Background technology
Wireless communication system enters 3G and the 4G that marches toward comprehensively, and power amplifier is systemic as being influenceed in communication system
Can be with the critical component of coverage.Non-linear and memory effect is the inherent characteristic of power amplifier, still, the two characteristics
The growth of filtered signal spectrum will be caused, in turn resulted in adjacent-channel interference, will also result in the distortion of inband signaling,
The bit error rate of raising system.
Therefore, linearization process is carried out to power amplifier and is developed to pass weight for radio communication to improve its effect
Will.In the prior art, linear process is carried out to power amplifier using a variety of methods, such as：Feedback transmitter, feed forward approach, numeral
The methods of predistortion.In these linearization techniques, line is entered to the power amplifier of emitter using digital pre-distortion technology
Property be cost performance highest technology, have that precision is high, is applicable with the wide, advantage such as cost of implementation is low, be widely used at present.
OFDM（Orthogonal Frequency Division Multiplexing, OFDM）, multi input
Multi output（Multi-Input Multi-Output, MIMO）, MIMO-OFDM technologies obtain with its advantage protruded in various fields
To extensive use.The bandwidth of communication system applications is more and more wider, up to tens of megahertzs of even hertz up to a hundred, therefore be used as communication system
The pivotal player of system --- power amplifier must have the correlated performance of broadband or ultra wide band.With the increase of bandwidth, power
Amplifier nonlinearity characteristic, especially memory effect can accordingly be strengthened, and this just proposes higher to digital pre-distortion technology
It is required that.
The general principle of digital pre-distortion is very simple, i.e., one and its characteristic are set before power amplifier（It is non-linear）
Opposite module so that Linear Amplifer function is presented in whole link.Pre-distortion parameters are estimated by power amplifier input and output data,
Predistorter is then forwarded to compensate the non-linear and memory effect of baseband signal progress.
In the case of narrow band signal, model does not consider the memory effect of power amplifier, such as Sale models, Rapp models, more
Item formula model etc., these models, which are obtained for, to be widely applied.
Later, with the increase of signal bandwidth, in order to compensate the memory effect of power amplifier, it is proposed that Volterra models, note
Recall multinomial（Memory Polynomial, MP）Model, Wiener models, Hammerstein model etc., wherein Valera moulds
Type is excessively complicated, is unfavorable for the realization of real system, so not use, and several models are all to a certain extent below
The reduced form of Volterra models.Popular at present is memory polynomial model.
Because signal is in power amplifier, signal bandwidth is wider, and memory effect is more serious, so memory polynomial model typically exists
Signal bandwidth is relatively effective in the case of being less than 20MHz, and its performance is not ideal during more than 20MHz.For this problem,
Put forward General Memory multinomial model again（Generalized Memory Polynomial, GMP）And DDR（Dynamic
Deviation Reduction）Model.
Because DDR models introduce 2 rank dynamic items（Latter three of model expression）, and these notes to compensating power amplifier
It is more effective to recall effect, so generally DDR models have better performance than GMP model.However, when signal bandwidth reaches
During to more than 60MHz, the performance of DDR models is still not ideal enough.
The content of the invention
The embodiments of the invention provide a kind of pre-distortion parameters acquiring method and pre-distortion system, to need to locate
When the signal bandwidth of reason is larger, the signal processing quality of digital pre-distortion still can guarantee that.
The invention provides a kind of pre-distortion parameters acquiring method, this method includes：
After INVENTIONPeriodic digital predistortion (DPD, Digital Pre-Distortion) starts, when each cycle starts
The pre-distorted signals Jing Guo pre-distortion and the first feedback signal by power amplifier processing are gathered, according to following predistortion model
Carry out the pre-distortion：
Wherein, z（n）The pre-distorted signals after pre-distortion that the expression n moment exports, x (n) represent that the n moment is defeated
The primary signal entered, n represent the input time of primary signal, and l represents the memory moment of pre-distorted signals, and a, b, c, d represent pre-
Distortion parameter, L represent memory depth, k representative polynomial exponent numbers, and K represents maximum polynomial order, and * represents the conjugation of signal, | x
(n) | the signal amplitude of primary signal is represented, x* (n) represents the conjugated signal of primary signal；
In each end cycle, all first feedback signals gathered in this cycle are carried out to pretreatment formation pair one by one
The second feedback signal answered；
The matrix formed according to all second feedback signals and the matrix formed according to all pre-distorted signals
Determine all pre-distortion parameters；
Pre-distortion parameters concordance list is updated according to the pre-distortion parameters of determination.
Above-mentioned technical proposal of the present invention provides a kind of improvement predistortion model based on DDR models, with traditional DDR moulds
Type is compared, and predistortion model provided by the invention has deepened the influence of memory depth, and model enhances the influence of memory depth, is increased
Strong model reaches to the compensation ability of power amplifier memory effect and further improves broadband DPD in the case of not increasing computation complexity
The purpose of performance, especially improve process performance during the larger signal of process bandwidth.
Preferably, formed according to the matrix of all second feedback signals formation and according to all pre-distorted signals
Matrix determine all pre-distortion parameters, specifically include：
The first sum of products of matrix and its conjugate matrices that all second feedback signals are formed is calculated according to LS algorithms
Second product of the matrix that the matrix and all pre-distorted signals that all second feedback signals are formed are formed；
All pre-distortion parameters are determined according to the ratio of second product and first product.
In above-mentioned technical proposal of the present invention, the purpose of make use of predistortion model is exactly to level off to the principle of power amplifier model, will
First feedback signal and pre-distorted signals opening relationships formula, and then pre-distortion parameters are asked for by LS algorithms.
The invention provides a kind of digital pre-distortion processing system, the system includes：
Predistorter, for after periodicity DPD digital pre-distortions start, being carried out to the primary signal of input at predistortion
Reason, to pre-distorted signals corresponding to amplifirer output；The pre-distortion parameters renewal pre-distortion parameters index sent according to arithmetic unit
Table, the pre-distorted signals obtain according to following predistortion model：
Wherein, z（n）The pre-distorted signals after pre-distortion that the expression n moment exports, x (n) represent that the n moment is defeated
The primary signal entered, n represent the input time of primary signal, and l represents the memory moment of pre-distorted signals, and a, b, c, d represent pre-
Distortion parameter, L represent memory depth, k representative polynomial exponent numbers, and K represents maximum polynomial order, and * represents the conjugation of signal, | x
(n) | the signal amplitude of primary signal is represented, x* (n) represents the conjugated signal of primary signal；
Amplifirer, the pre-distorted signals for being exported to predistorter carry out power amplifier, and are fed back to arithmetic unit output first
Signal；
Arithmetic unit, in each end cycle, gathering all first feedback signals of generation in this cycle and owning
Pre-distorted signals, and the second feedback signal corresponding to pretreatment formation is carried out one by one to all first feedback signals；According to
Matrix that all second feedback signals are formed and the matrix formed according to all pre-distorted signals determine all pre-
Distortion parameter；All pre-distortion parameters are sent to predistorter.
In above-mentioned technical proposal of the present invention, there is provided a pre-distortion system, wherein, will be pre- in predistorter
Distortion model is improved on the basis of legacy ddr model, and model enhances the influence of memory depth, it is therefore an objective to strengthens mould
Type reaches to the compensation ability of power amplifier memory effect and further improves broadband DPD performances in the case of not increasing computation complexity
Purpose.
The embodiment of the present invention, by the improvement of the progress to legacy ddr model, predistortion mould proposed by the present invention is obtained
Type, compared to legacy ddr model, predistortion model of the present invention enhances the influence of memory depth, it is therefore an objective to strengthens model to work(
The compensation ability of memory effect is put, it is achieved thereby that further improving broadband DPD performances in the case of not increasing computation complexity
Purpose.
Brief description of the drawings
Fig. 1 is a kind of method flow schematic diagram of pre-distortion parameters acquiring method provided in an embodiment of the present invention；
Fig. 2 is the performance comparison schematic diagram of predistortion model provided in an embodiment of the present invention and legacy ddr model；
Fig. 3 is Fig. 2 close-up schematic view；
Fig. 4 is that a kind of specific embodiment flow of the acquiring method of digit pre-distortion parameters provided in an embodiment of the present invention is shown
It is intended to；
Fig. 5 is a kind of signal flow schematic diagram of digital pre-distortion processing system provided in an embodiment of the present invention；
Fig. 6 is a kind of system structure diagram of digital pre-distortion processing system provided in an embodiment of the present invention.
Embodiment
Because existing DDR models are performed poor in the larger signal of process bandwidth, so the embodiment of the present invention provides
A kind of pre-distortion parameters acquiring method and pre-distortion system, when signal bandwidth is larger, still to ensure that numeral is pre-
The signal processing quality of distortion.
First, the embodiments of the invention provide a kind of pre-distortion parameters acquiring method, as shown in figure 1, this method includes：
S101, after periodicity DPD digital pre-distortions start, when each cycle starts, collection is by pre-distortion
Pre-distorted signals and the first feedback signal by power amplifier processing, the pre-distortion is carried out according to following predistortion model：
Wherein, z（n）The pre-distorted signals after pre-distortion that the expression n moment exports, x (n) represent that the n moment is defeated
The primary signal entered, n represent the input time of primary signal, and l represents the memory moment of pre-distorted signals, and a, b, c, d represent pre-
Distortion parameter, L represent memory depth, k representative polynomial exponent numbers, and K represents maximum polynomial order, and * represents the conjugation of signal, | x
(n) | the signal amplitude of primary signal is represented, x* (n) represents the conjugated signal of primary signal；
S102, in each end cycle, all first feedback signals gathered in this cycle are pre-processed one by one
Second feedback signal corresponding to formation；
S103, formed according to the matrix of all second feedback signals formation and according to all pre-distorted signals
Matrix determines all pre-distortion parameters；
S104, update pre-distortion parameters concordance list according to the pre-distortion parameters of determination.
The embodiments of the invention provide a kind of improvement predistortion model based on DDR models, with traditional DDR model phases
Than predistortion model provided by the invention has deepened the influence of memory depth, and model enhances the influence of memory depth, strengthens mould
Type reaches to the compensation ability of power amplifier memory effect and further improves broadband DPD performances in the case of not increasing computation complexity
Purpose, especially improve process performance during the larger signal of process bandwidth.
According to the test of inventor in the case where having configured parameter in advance（K=7, L=4, Kb=Kc=Kd=5, Lb=Lc=Ld=
3, information source LTE70M2C, peak-to-average force ratio 7.5dB）, legacy ddr model（OLD）Performance and improvement after DDR models（NEW, this hair
Bright provided predistortion model）Performance comparison as shown in Figures 2 and 3.
It is understood that why pre-distortion parameters are referred to using different letters in same model, it is therefore an objective to
For mutual differentiation.
On the basis of the above embodiment of the present invention, more preferably, for the accuracy of pre-distortion parameters that calculates, it is necessary to
A series of pretreatment is carried out to the first feedback signal, the pretreatment includes carrying out numeral successively to every one first feedback signal
Down coversion（DDC, digital down converter）, delay alignment, gain and phase compensation.Using the second feedback signal and
The pre-distortion parameters that pre-distorted signals are drawn are more accurate.
Preferably, formed according to the matrix of all second feedback signals formation and according to all pre-distorted signals
Matrix determine all pre-distortion parameters, specifically include：
According to LS（Least square method, Least Square）Algorithm calculates the matrix that all second feedback signals are formed
The matrix formed with all second feedback signals of the first sum of products of its conjugate matrices and all pre-distorted signals shapes
Into matrix the second product；
All pre-distortion parameters are determined according to the ratio of second product and first product.
In embodiments of the present invention, the calculating process that LS algorithms carry out pre-distortion parameters is taken, first provides one simply
Calculating process：
Because the purpose of predistortion model is to level off to the inversion model of power amplifier, so the first feedback signal and pre-distorted signals
Relationship below be present：
Wherein, z（n）The pre-distorted signals after pre-distortion that the expression n moment exports, y (n) represent that the n moment is defeated
The first feedback signal entered, n represent the first feedback signal input time, l represent pre-distorted signals the memory moment, a, b, c,
D represents pre-distortion parameters, and L represents memory depth, k representative polynomial exponent numbers, and K represents maximum polynomial order, and * represents signal
Conjugation, | y (n) | the signal amplitude of the first feedback signal is represented, y* (n) represents the conjugated signal of the first feedback signal.
It is understood that because the second feedback signal is obtained by the first feedback signal after pretreatment, so
Second feedback signal and pre-distorted signals there is also above-mentioned relation formula, obtained the matrix of the second feedback signal formation and according to
After the matrix that all pre-distorted signals are formed, above-mentioned relation formula can be changed to z (n)=Uw（2）, wherein, z represents predistortion letter
Number formed matrix, U represent the second feedback signal formed matrix, w represent pre-distortion parameters.
Further simple declaration, the composition of matrix U are as follows：
U=[R, S, Q, V], R, S and V difference representation relation formula（1）Middle different Expression formula, specific corresponding to pass
It is to be：
Q, V structure is the same as R and S, qkl(n)=y (n) | y (n-l) |2|y(n)|k-1, vkl(n)=y*(n)y2(n-l)|y(n)
|k-1。
Further, relational expression（2）It is variable to turn toWherein,Represent pre-distortion parameters
Least square solution, z represent pre-distorted signals formed matrix, U represent the second feedback signal formed matrix, UHRepresenting matrix
U conjugate matrices, U is determined according to LS algorithms respectivelyHU and UHZ value, and then determineValue, finally determine all
Pre-distortion parameters value.
It is understood that due to being related to inverting for matrix, computing when calculating the least square solution of pre-distortion parameters
It is more complicated, as the simple equal replacement of the present invention, can avoid inverting to matrix using the method for matrix decomposition, such as
Common matrix disassembling method has QR (Orthogonal-triangular Decomposition) to decompose, singular value decomposition
(SVD, Singular Value Decomposition) etc..
In the present invention, usually, the pre-distorted signals of collection and first feedback signal in each cycle
Length is generally 2000-8000.
Technical scheme for a better understanding of the present invention, as shown in Figure 4 and Figure 5, a detailed embodiment is provided below：
First, to some letters for occurring in specific embodiment of the present invention or meet and uniformly explain：
z（n）The pre-distorted signals after pre-distortion that the expression n moment exports, x (n) represent the original inputted at the n moment
Beginning signal, n represent the input time of primary signal, and l represents the memory moment of pre-distorted signals, and a, b, c, d represent predistortion ginseng
Number, L represent memory depth, k representative polynomial exponent numbers, and K represents maximum polynomial order, and * represents the conjugation of signal, | x (n) | table
Showing the signal amplitude of primary signal, x* (n) represents the conjugated signal of primary signal,Represent the least square of pre-distortion parameters
Solution, z represent the matrix that pre-distorted signals are formed, and U represents the matrix that the second feedback signal is formed, UHThe U of representing matrix conjugation
Matrix, y (n) represent the first feedback signal, | y (n) | the signal amplitude of the first feedback signal is represented, y* (n) represents the first feedback
The conjugated signal of signal；
S201, after periodic filter processing starts, primary signal input predistorter；
S202, when each cycle starts, predistorter is according to the LUT tables after preceding once renewal（Predistortion concordance list）It is and pre-
Distortion model is handled primary signal, exports pre-distorted signals；
（1）, predistorter extracts pair according to the different amplitudes of the primary signal of input in the upper LUT tables once updated
The pre-distortion parameters answered；
（2）, signal transacting is carried out to primary signal according to following equation and obtains pre-distorted signals；
S203, pre-distorted signals are changed into analog signal by D/A converter module from data signal；
S204, the pre-distorted signals of analog signal are transmitted into power amplifier module by radiofrequency launcher and carry out power amplifier process；
S205, the first feedback signal Jing Guo power amplifier process is received by radio frequency receiver；
S206, the first feedback signal is converted to by data signal by analog signal by analog-digital converter；
S207, in each end cycle, gather in this cycle all pre-distorted signals of generation and all first anti-
Feedback signal；
S208, Digital Down Convert DDC, delay pair are carried out successively one by one to the first feedback signal for being converted to data signal
Together, gain and phase compensation form corresponding second feedback signal；
（1）, the matrix that all the second feedback signal is formed is expressed as U=[u10,…uM00,…u1Q,…uMQL], own
The matrix that is formed of pre-distorted signals be expressed as Z=[z (1), z (2) ..., z (N)]T；
（2）, the following relational expression according to existing for the first feedback signal and pre-distorted signals：
（3）, matrix U and Z are brought into above-mentioned relation formula and can obtain z (n)=Uw, w=（akl, bkl, ckl, dkl）, herein
All pre-distortion parameters set are referred to w.
S209, the matrix U formed according to second feedback signal and the matrix Z formed according to pre-distorted signals are determined
Pre-distortion parameters w；
（1）, the relational expression after simplification can further be transformed toBy pre-distorted signals shape
Into matrix and the second feedback signal formed matrix be brought into above-mentioned formula, determine pre-distortion parameters w least square solution（Cause
It is over-determined systems for this formula.The present embodiment can use the principle of least square determine the solution of linear equation, in real process
Using the QR decomposition methods of matrix, quick Cholesky decomposition methods solution matrix coefficient or LS algorithms）；
S210, the pre-distortion parameters of determination are sent to predistorter to be updated to LUT tables.
S211, predistorter carry out digital pre-distortion processing according to the LUT tables after renewal to the primary signal in next cycle.
The corresponding above method embodiment of the present invention additionally provides a kind of digital pre-distortion processing system, as shown in fig. 6, this is
System includes：
Predistorter 1, for after periodicity DPD digital pre-distortions start, predistortion to be carried out to the primary signal of input
Processing, to pre-distorted signals corresponding to amplifirer output；The pre-distortion parameters sent according to arithmetic unit update pre-distortion parameters rope
Draw table, the pre-distorted signals obtain according to following predistortion model：
Wherein, z（n）The pre-distorted signals after pre-distortion that the expression n moment exports, x (n) represent that the n moment is defeated
The primary signal entered, n represent the input time of primary signal, and l represents the memory moment of pre-distorted signals, and a, b, c, d represent pre-
Distortion parameter, L represent memory depth, k representative polynomial exponent numbers, and K represents maximum polynomial order, and * represents the conjugation of signal, | x
(n) | the signal amplitude of primary signal is represented, x* (n) represents the conjugated signal of primary signal；
Amplifirer 2, the pre-distorted signals for being exported to predistorter carry out power amplifier, and are fed back to arithmetic unit output first
Signal；
Arithmetic unit 3, in each end cycle, gathering all first feedback signals of generation in this cycle and owning
Pre-distorted signals, and the second feedback signal corresponding to pretreatment formation is carried out one by one to all first feedback signals；According to
Matrix that all second feedback signals are formed and the matrix formed according to all pre-distorted signals determine all pre-
Distortion parameter；All pre-distortion parameters are sent to predistorter.
In the above embodiment of the present invention, there is provided a pre-distortion system, wherein, by the pre- mistake in predistorter
True mode is improved on the basis of legacy ddr model, and model enhances the influence of memory depth, it is therefore an objective to strengthens model
To the compensation ability of power amplifier memory effect, reach and further improve broadband DPD performances in the case of not increasing computation complexity
Purpose.
On the basis of the above embodiment of the present invention, usually, it is described pretreatment include to every one first feedback signal according to
Secondary progress Digital Down Convert DDC, delay alignment, gain and phase compensation.
On the basis of the above embodiment of the present invention, usually, the arithmetic unit is according to all second feedback signals
The matrix of formation and the matrix formed according to all pre-distorted signals determine all pre-distortion parameters, specifically include：
The first sum of products of matrix and its conjugate matrices that all second feedback signals are formed is calculated according to LS algorithms
Second product of the matrix that the matrix and all pre-distorted signals that all second feedback signals are formed are formed；
All pre-distortion parameters are determined according to the ratio of second product and first product.
On the basis of the above embodiment of the present invention, usually, the pre-distorted signals of collection and institute in each cycle
The length for stating the first feedback signal is generally 2000-8000.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or computer program
Product.Therefore, the present invention can use the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.Moreover, the present invention can use the computer for wherein including computer usable program code in one or more
Usable storage medium（Including but not limited to magnetic disk storage and optical memory etc.）The shape of the computer program product of upper implementation
Formula.
The present invention is with reference to method according to embodiments of the present invention, equipment（System）And the flow of computer program product
Figure and/or block diagram describe.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processors of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which produces, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, so as in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
Obviously, those skilled in the art can carry out the essence of various changes and modification without departing from the present invention to the present invention
God and scope.So, if these modifications and variations of the present invention belong to the scope of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to comprising including these changes and modification.
Claims (6)
1. a kind of pre-distortion parameters acquiring method, it is characterised in that this method includes：
After periodicity DPD digital pre-distortions start, predistortion letter of the collection Jing Guo pre-distortion when each cycle starts
Number and the first feedback signal by power amplifier processing, the pre-distortion is carried out according to following predistortion model：
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<mo>)</mo>
</mrow>
<msup>
<mo>|</mo>
<mn>2</mn>
</msup>
<mo>|</mo>
<mi>x</mi>
<mrow>
<mo>(</mo>
<mi>n</mi>
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</mrow>
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<mo>|</mo>
<mrow>
<mi>k</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>+</mo>
<munderover>
<mi>&Sigma;</mi>
<mrow>
<mi>k</mi>
<mo>=</mo>
<mn>2</mn>
</mrow>
<mrow>
<mi>K</mi>
<mi>d</mi>
</mrow>
</munderover>
<munderover>
<mi>&Sigma;</mi>
<mrow>
<mi>l</mi>
<mo>=</mo>
<mn>0</mn>
</mrow>
<mrow>
<mi>L</mi>
<mi>d</mi>
</mrow>
</munderover>
<msub>
<mi>d</mi>
<mrow>
<mi>k</mi>
<mi>l</mi>
</mrow>
</msub>
<msup>
<mi>x</mi>
<mo>*</mo>
</msup>
<mrow>
<mo>(</mo>
<mi>n</mi>
<mo>)</mo>
</mrow>
<msup>
<mi>x</mi>
<mn>2</mn>
</msup>
<mrow>
<mo>(</mo>
<mrow>
<mi>n</mi>
<mo>-</mo>
<mi>l</mi>
</mrow>
<mo>)</mo>
</mrow>
<mo>|</mo>
<mi>x</mi>
<mrow>
<mo>(</mo>
<mi>n</mi>
<mo>)</mo>
</mrow>
<msup>
<mo>|</mo>
<mrow>
<mi>k</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
Wherein, the pre-distorted signals after pre-distortion that z (n) the expression n moment exports, x (n) represent what the n moment inputted
Primary signal, n represent the input time of primary signal, and l represents the memory moment of pre-distorted signals, and a, b, c, d represent predistortion
Parameter, L represent memory depth, k representative polynomial exponent numbers, and K represents maximum polynomial order, and * represents the conjugation of signal, | x (n) |
The signal amplitude of primary signal is represented, x* (n) represents the conjugated signal of primary signal；
In each end cycle, all first feedback signals gathered in this cycle are carried out corresponding to pretreatment formation one by one
Second feedback signal；
The matrix formed according to all second feedback signals and the matrix formed according to all pre-distorted signals determine
All pre-distortion parameters；
Pre-distortion parameters concordance list is updated according to the pre-distortion parameters of determination；
Wherein, the matrix formed according to all second feedback signals and the matrix formed according to all pre-distorted signals
All pre-distortion parameters are determined, are specifically included：
Owned according to the first sum of products that LS algorithms calculate matrix and its conjugate matrices that all second feedback signals are formed
Second product of the matrix that the matrix and all pre-distorted signals that second feedback signal is formed are formed；
All pre-distortion parameters are determined according to the ratio of second product and first product.
2. the method as described in claim 1, it is characterised in that the pretreatment includes entering every one first feedback signal successively
Row Digital Down Convert DDC, delay alignment, gain and phase compensation.
3. the method as described in claim 1, it is characterised in that the pre-distorted signals of collection and described the in each cycle
The length of one feedback signal is 2000-8000.
4. a kind of digital pre-distortion processing system, it is characterised in that the system includes：
Predistorter, for after periodicity DPD digital pre-distortions start, pre-distortion to be carried out to the primary signal of input,
To pre-distorted signals corresponding to amplifirer output；The pre-distortion parameters sent according to arithmetic unit update pre-distortion parameters concordance list,
The pre-distorted signals obtain according to following predistortion model：
<mfenced open = "" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<mi>z</mi>
<mrow>
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<mi>n</mi>
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</mrow>
<mo>=</mo>
<munderover>
<mi>&Sigma;</mi>
<mrow>
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<mn>1</mn>
</mrow>
<mi>K</mi>
</munderover>
<munderover>
<mi>&Sigma;</mi>
<mrow>
<mi>l</mi>
<mo>=</mo>
<mn>0</mn>
</mrow>
<mi>L</mi>
</munderover>
<msub>
<mi>a</mi>
<mrow>
<mi>k</mi>
<mi>l</mi>
</mrow>
</msub>
<mi>x</mi>
<mrow>
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<mi>l</mi>
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<mi>l</mi>
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<mn>1</mn>
</mrow>
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</mrow>
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<mi>&Sigma;</mi>
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<mn>1</mn>
</mrow>
</msup>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
Wherein, the pre-distorted signals after pre-distortion that z (n) the expression n moment exports, x (n) represent what the n moment inputted
Primary signal, n represent the input time of primary signal, and l represents the memory moment of pre-distorted signals, and a, b, c, d represent predistortion
Parameter, L represent memory depth, k representative polynomial exponent numbers, and K represents maximum polynomial order, and * represents the conjugation of signal, | x (n) |
The signal amplitude of primary signal is represented, x* (n) represents the conjugated signal of primary signal；
Amplifirer, the pre-distorted signals for being exported to predistorter carry out power amplifier, and export the first feedback signal to arithmetic unit；
Arithmetic unit, in each end cycle, gathering all first feedback signals of generation and all pre- mistakes in this cycle
True signal, and the second feedback signal corresponding to pretreatment formation is carried out one by one to all first feedback signals；According to all
The matrix and all predistortions are determined according to the matrix of all pre-distorted signals formation that second feedback signal is formed
Parameter；All pre-distortion parameters are sent to predistorter；
Wherein, the arithmetic unit is according to the matrix of all second feedback signals formation and according to all pre-distorted signals
The matrix of formation determines all pre-distortion parameters, specifically includes：
Owned according to the first sum of products that LS algorithms calculate matrix and its conjugate matrices that all second feedback signals are formed
Second product of the matrix that the matrix and all pre-distorted signals that second feedback signal is formed are formed；
All pre-distortion parameters are determined according to the ratio of second product and first product.
5. system as claimed in claim 4, it is characterised in that the pretreatment includes entering every one first feedback signal successively
Row Digital Down Convert DDC, delay alignment, gain and phase compensation.
6. system as claimed in claim 4, it is characterised in that the pre-distorted signals of collection and described the in each cycle
The length of one feedback signal is 2000-8000.
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| CN107276546B (en) * | 2016-04-08 | 2020-05-08 | 大唐移动通信设备有限公司 | Digital pre-distortion processing method and device |
| CN105978843B (en) * | 2016-05-13 | 2019-02-12 | 京信通信***（中国）有限公司 | Digital pre-distortion loop time delay method of adjustment and device |
| CN106453173A (en) * | 2016-11-24 | 2017-02-22 | 希诺麦田技术（深圳）有限公司 | Pre-distortion parameter estimation system and wireless transmitting system |
| CN106911624B (en) * | 2017-02-27 | 2020-01-03 | 北京睿信丰科技有限公司 | Channel compensation calibration method and system |
| CN107895074A (en) * | 2017-11-08 | 2018-04-10 | 重庆工程职业技术学院 | A kind of mixing double frequency digital pre-distortion model method based on DDR |
| CN110808746B (en) * | 2019-10-30 | 2021-02-19 | 电子科技大学 | DPD model parameter extraction method for MIMO transmitter |
| CN111510081A (en) * | 2020-03-24 | 2020-08-07 | 成都凯腾四方数字广播电视设备有限公司 | General memory polynomial GMP digital predistortion circuit based on lookup table L UT |
| CN115396268B (en) * | 2021-05-25 | 2024-03-08 | 大唐移动通信设备有限公司 | Data processing method, device and storage medium |
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Address after: 510663 No. 10 Shenzhou Road, Science City, Luogang District, Guangzhou City, Guangdong Province Patentee after: Jingxin Network System Co.,Ltd. Address before: 510663 No. 10 Shenzhou Road, Science City, Luogang District, Guangzhou City, Guangdong Province Patentee before: Comba Telecom System (China) Ltd. |