WO2016082451A1 - Correction processing method and apparatus - Google Patents

Abstract

Disclosed are a correction processing method and apparatus. The method comprises: performing data pre-processing on an acquired forward signal and feedback signal, wherein the feedback signal is a signal obtained by correcting the forward signal; obtaining correction information according to the signal after the data pre-processing, and updating a correction parameter according to the correction information; and using the updated correction parameter to correct the forward signal. By means of the present invention, the problem of poor pre-distortion tracking effect caused by real-time variation of services in relevant technologies is solved, and the correction speed and correction performance of non-linear system distortions can be improved.

Description

Correction processing method and device Technical field

The present invention relates to the field of communications, and in particular to a correction processing method and apparatus.

Background technique

With the development of mobile communication, spectrum resources are becoming scarcer. In order to improve spectrum utilization efficiency, advanced broadband digital transmission technology and high-efficiency modulation methods (such as Wideband Code Division Multiple Access (Code Division Multiple Access) are often used. CDMA), nQAM, and Orthogonal Frequency Division Multiplexing (OFDM), however, these modulation methods generate intermodulation interference when the power amplifier operates close to the saturation region, which results in power amplifier generation. Severe nonlinear distortion, which causes signal distortion in the time domain and then affects signal demodulation. In the frequency domain, it causes spectrum diffusion and then interferes with the channel. One way to solve the problem of nonlinear distortion in power amplifiers is to use power back-off techniques, which in turn leads to low efficiency and high power consumption of the power amplifier. Therefore, the trade-off between frequency utilization and power amplifier efficiency requires some processing technology to correct the nonlinear distortion of the power amplifier. Digital pre-distortion technology is the primary choice for current nonlinear system distortion correction because of its low cost and good performance. .

In mobile communication systems, the characteristics of the power amplifier change with changes in excitation, ambient temperature, and device aging. At the same time, changes in signal distribution and power are caused by real-time changes in the service. These changes can cause transient effects of predistortion correction. Deterioration; therefore, in order to improve the improvement effect of the nonlinear distortion of the power amplifier, it is necessary to adaptively update the correction parameters. The traditional predistortion algorithm updates the predistortion parameters through data acquisition and uploading, preprocessing, parameter extraction and parameter downloading. These processes are performed offline, so the predistortion parameters are updated slowly, especially in response to data characteristics or amplifiers. In the scene where the characteristics change rapidly, the predistortion tracking effect is poor.

In view of the related art, an effective solution has not been proposed due to the problem that the predistortion tracking effect is poor due to real-time changes in services.

Summary of the invention

The embodiment of the invention provides a correction processing method and device, so as to at least solve the problem that the predistortion tracking effect is poor due to the real-time change of the service in the related art.

According to an aspect of the embodiments of the present invention, a correction processing method is provided, including: performing data preprocessing on a received forward signal and a feedback signal, wherein the feedback signal is obtained after the forward signal is corrected. a signal; obtaining correction information according to the signal subjected to the data pre-processing, and updating the correction parameter according to the correction information; and correcting the forward signal by using the updated correction parameter.

In an embodiment of the invention, correcting the forward signal using the updated correction parameter comprises: assigning the forward signal to a correction module for correction, wherein the correction module comprises at least one of: one or a plurality of primary correction modules, one or more secondary correction modules, and one or more backup correction modules; synthesizing the signals obtained after the correction.

In the implementation of the present invention, after the forward signal is allocated to the correction module for correction, the primary correction module, the secondary correction module, and the backup correction module are configured according to the envelope information of the forward signal. The forward signal is subjected to a correction process, and the processing manner is:

y _a (n)=P _a (x _a (nk ₁ ),...,x _a (nk _a ), I _b (nl _b ),...,I _c (nl _c ))

y _b (n)=P _b (x _b (nk ₁ ),...,x _b (nk _b ),I _a (nl _a ),...,I _c (nl _c ))

y _c (n)=P _c (x _c (nk ₁ ),...,x _c (nk _c ), I _a (nl _a ),...,I _b (nl _b ))

Where x _a , x _b and x _c are forward signal components respectively allocated to the primary correction module, the secondary correction module and the secondary correction module; n is a signal sampling sequence number; k _a , k _b and k _c and l _a , l _b and l _c are signal delay amounts; y _a , y _b and y _c and I _a , I _b and I _c are respectively said main correction module, said secondary correction module and said The output signals of the correction module; P _a (·), P _b (·), and P _c (·) are correction models of the main correction module, the auxiliary correction module, and the preparation correction module, respectively.

In the practice of the present invention, synthesizing the signal after the correction is obtained includes:

y=y _a +y _b +y _c or

y=y _a *y _b *y _c or

y=(y _a +y _b )*y _c .

In the implementation of the present invention, obtaining the correction information according to the signal after the data pre-processing includes: demultiplexing the multiplexed signal output after the data pre-processing; performing error calculation according to the demultiplexed signal to obtain an error Information; correcting the error information to obtain the correction information.

In the implementation of the present invention, obtaining the correction information according to the signal after the data pre-processing includes: demultiplexing the multiplexed signal output after the data pre-processing; performing nonlinear filtering processing on the demultiplexed signal And performing error calculation according to the nonlinear filter processed signal to obtain error information; and performing correction processing on the error information to obtain the correction information.

In the implementation of the present invention, performing nonlinear filtering processing on the signal after demultiplexing includes:

Where u is an input of the nonlinear filtering module A and/or the nonlinear filtering module B; f _a , f _b are outputs of the nonlinear filtering module A and/or the nonlinear filtering module B; k ₁ and k ₂ are delay quantities; K ₁ and K ₁ are model orders; δ(·) is a partial derivative operation.

In the implementation of the present invention, the error information obtained by performing error calculation according to the demultiplexed signal or the nonlinear filtering processed signal includes: performing error calculation according to the demultiplexed signal or the nonlinear filtering processed signal to obtain multipath error Information; selecting from the multipath error information to obtain the error information.

In the implementation of the present invention, performing data pre-processing on the collected forward signal and the feedback signal includes: performing at least one of the following processing on the forward signal and the feedback signal to obtain a processed signal: delay compensation processing , image filtering processing, gain compensation processing, frequency and phase compensation processing, real-time tracking of delay compensation values, filter compensation values, gain compensation values, and phase compensation values; multiplexing the processed signals to output a single channel Preprocess the signal.

In the implementation of the present invention, the error calculation method for calculating the multipath error information according to the demultiplexed signal or the non-linear filter processed signal includes:

Where x _d (n) and z _d (n) are preprocessed forward and feedback signals; f _xa (n) and f _za (n) are forward and feedback signals processed by the nonlinear filter A ;f _xb (n) and f _zb (n) are the forward and feedback signals processed by the nonlinear filter B.

In the implementation of the present invention, updating the correction parameters according to the correction information includes:

c(n)=μ(n)x(n)e ^H (n)

Where μ and λ are adjustment factors; c is the output of the error correction module; x(n) is the input signal corresponding to the correction parameter; (·) ^H is the conjugate operation; h(n) is the filter coefficient; e is the error module Output.

According to another aspect of the embodiments of the present invention, there is also provided a correction processing apparatus, the apparatus comprising: a pre-processing module configured to perform data pre-processing on the collected forward signal and the feedback signal, wherein the feedback signal Is a signal obtained after the forward signal is corrected; the real-time adaptor module is configured to obtain correction information according to the signal after the data pre-processing, and update the correction parameter according to the correction information; the corrector module is set to use the update The subsequent correction parameters correct the forward signal.

In the implementation of the present invention, the corrector module includes: a routing module, a primary correction module, a secondary correction module, and a backup correction module, wherein the routing module is configured to allocate the forward signal to one or more The main correction module, one or more of the auxiliary correction modules, and one or more of the preparation correction modules perform correction; and the synthesis module is configured to perform synthesis processing on the signals obtained after the correction.

In the implementation of the present invention, the primary correction module, the secondary correction module, and the backup correction module perform correction processing on the forward signal according to the envelope information of the forward signal, and the processing manner is:

y _a (n)=P _a (x _a (nk ₁ ),...,x _a (nk _a ), I _b (nl _b ),...,I _c (nl _c ))

y _b (n)=P _b (x _b (nk ₁ ),...,x _b (nk _b ),I _a (nl _a ),...,I _c (nl _c ))

y _c (n)=P _c (x _c (nk ₁ ),...,x _c (nk _c ), I _a (nl _a ),...,I _b (nl _b ))

Where x _a , x _b and x _c are forward signal components respectively allocated to the primary correction module, the secondary correction module and the secondary correction module; n is a signal sampling sequence number; k _a , k _b and k _c and l _a , l _b and l _c are signal delay amounts; y _a , y _b and y _c and I _a , I _b and I _c are respectively said main correction module, said secondary correction module and said The output signals of the correction module; P _a (·), P _b (·), and P _c (·) are correction models of the main correction module, the auxiliary correction module, and the preparation correction module, respectively.

In the implementation of the present invention, the synthesizing module performs a synthesizing process on the signal obtained after the correction is:

y=y _a +y _b +y _c or

y=y _a *y _b *y _c or

y=(y _a +y _b )*y _c .

In the implementation of the present invention, the real-time adaptor module includes: a first demultiplexing module, configured to demultiplex a multiplexed signal outputted after data pre-processing; the first error module is set according to The demultiplexed signal is subjected to error calculation to obtain error information; and the first error correction module is configured to perform correction processing on the error information to obtain the correction information.

In the implementation of the present invention, the real-time adaptor module further includes: a second demultiplexing module, demultiplexing the multiplexed signal output after the data pre-processing; the nonlinear filtering module is set to the solution The signal after multiplexing is subjected to nonlinear filtering processing; the second error module obtains error information according to the error-processed signal, and the second error correction module corrects the error information to obtain the correction information. .

In the implementation of the present invention, the nonlinear filtering module performs nonlinear filtering processing on the demultiplexed signal by:

Where u is an input of the nonlinear filtering module A and/or the nonlinear filtering module B; f _a , f _b are outputs of the nonlinear filtering module A and/or the nonlinear filtering module B; k ₁ and k ₂ are delay quantities; K ₁ and K ₁ are model orders; δ(·) is a partial derivative operation.

In the implementation of the present invention, the real-time adaptor module further includes: a selecting module, configured to perform error calculation according to the demultiplexed signal or the nonlinear filtering processed signal to obtain multi-path error information, from the multi-path error The selection is made in the information to obtain the error information.

In the implementation of the present invention, the pre-processing module is further configured to: perform processing on at least one of the following processing on the forward signal and the feedback signal: delay compensation processing, image filtering processing, and gain The compensation processing, the frequency and phase compensation processing, the time delay compensation value, the filter compensation value, the gain compensation value and the phase compensation value are tracked in real time; the processed signal is multiplexed to output a single preprocessed signal.

In the practice of the present invention, the selection module performs error calculation in the following manner:

Where x _d (n) and z _a (n) are preprocessed forward and feedback signals; f _xa (n) and f _za (n) are forward and feedback signals processed by the nonlinear filter A ;f _xb (n) and f _zb (n) are the forward and feedback signals processed by the nonlinear filter B.

In an embodiment of the invention, the corrector module updates the correction parameters based on the correction information in the following manner:

c(n)=μ(n)x(n)e ^H (n)

Where μ and λ are adjustment factors; c is the output of the error correction module; x(n) is the input signal corresponding to the correction parameter; (·) ^H is the conjugate operation; h(n) is the filter coefficient; e is the error module Output.

Through the embodiment of the present invention, data preprocessing is performed on the collected forward signal and the feedback signal, wherein the feedback signal is a signal obtained by correcting the forward signal; and the corrected information is obtained according to the signal preprocessed by the data, and according to Correct the information update correction parameters; use the updated calibration parameters to correct the forward signal. The problem that the predistortion tracking effect is poor due to the real-time change of the service in the related art is solved, and the correction speed and the correction performance of the nonlinear system distortion are improved.

DRAWINGS

The drawings are intended to provide a further understanding of the embodiments of the present invention, and are intended to be a part of the present invention, and the description of the present invention is not intended to limit the invention. In the drawing:

1 is a flow chart of a correction processing method according to an embodiment of the present invention;

2 is a block diagram showing the structure of a correction processing apparatus according to an embodiment of the present invention;

3 is a block diagram 1 of a structure of a correction processing apparatus according to an embodiment of the present invention;

4 is a block diagram 2 of a configuration of a correction processing apparatus according to an embodiment of the present invention;

Figure 5 is a block diagram 3 of a structure of a correction processing apparatus according to an embodiment of the present invention;

6 is a structural block diagram 4 of a correction processing apparatus according to an embodiment of the present invention;

7 is a block diagram of a digital predistortion correction apparatus according to an embodiment of the present invention;

Figure 8 is a diagram showing the basic structure of a corrector according to an embodiment of the present invention;

9 is a basic structural diagram of a preprocessor according to an embodiment of the present invention;

FIG. 10 is a basic structural diagram of a real-time adaptor according to an embodiment of the present invention; FIG.

11 is a flow chart of a digital predistortion correction method according to an embodiment of the present invention;

12 is a structural diagram of a digital predistortion correction apparatus according to an embodiment of the present invention;

FIG. 13 is a schematic diagram of a power amplifier nonlinear fast correction method according to an embodiment of the invention.

detailed description

Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict.

A correction processing method is provided in this embodiment. FIG. 1 is a flowchart of a correction processing method according to an embodiment of the present invention. As shown in FIG. 1, the flow includes the following steps:

Step S102, performing data preprocessing on the collected forward signal and the feedback signal, wherein the feedback signal is a signal obtained by correcting the forward signal;

Step S104, obtaining correction information according to the signal after the data pre-processing, and updating the correction parameter according to the correction information;

Step S106, the forward signal is corrected using the updated correction parameter.

Through the above steps, the forward signal is corrected by the feedback signal and the forward signal, the signal is preprocessed to obtain the correction information, and then the correction parameter is updated according to the correction information, and the updated correction parameter is used in real time for the forward direction. The signal is corrected. Compared with the related art, the above steps use the feedback signal and the forward signal to update the correction parameters, solve the problem that the predistortion tracking effect is poor due to the real-time change of the service, and improve the correction speed of the nonlinear system distortion. And correct performance.

The above step S106 involves correcting the forward signal by using the updated correction parameter. It should be noted that the forward signal can be corrected by using the updated correction parameter in various ways, which will be exemplified below. In an optional embodiment, the forward signal is allocated to the primary calibration module, the secondary calibration module, or the secondary calibration module of the calibration module for correction, wherein one of the primary calibration module, the secondary calibration module, or the secondary calibration module may be used. Correction is done in any combination. In another alternative embodiment, the resulting signal after the correction is combined to facilitate the transfer of the synthesized signal to the next module.

This will be described below by taking an alternative embodiment as an example.

In this optional embodiment, the primary correction module, the secondary correction module, and the backup correction module perform correction processing on the forward signal according to the envelope information of the forward signal, and the processing manner is:

y _a (n)=P _a (x _a (nk ₁ ),...,x _a (nk _a ), I _b (nl _b ),...,I _c (nl _c ))

y _b (n)=P _b (x _b (nk ₁ ),..., _x b(nk _b ), I _a (nl _a ),...,I _c (nl _c ))

y _c (n)=P _c (x _c (nk ₁ ),...,x _c (nk _c ), I _a (nl _a ),...,I _b (nl _b ))

Where x _a , x _b and x _c are the forward signal components assigned to the primary correction module, the secondary correction module and the standby correction module, respectively; n is the signal sampling sequence number; k _a , k _b and k _c and l _a , l _b and l _c are the signal delay amounts; y _a , y _b and y _c and I _a , I _b and I _c are the output signals of the main correction module, the auxiliary correction module and the preparation correction module respectively; P _a (·) , P _b (·) and P _c (·) are correction models of the main correction module, the auxiliary correction module, and the preparation correction module, respectively.

In an alternative embodiment, synthesizing the signal after the correction is obtained includes:

y=y _a +y _b +y _c or

y=y _a *y _b *y _c or

y=(y _a +y _b )*y _c

The above step S104 involves obtaining the correction information according to the data preprocessed signal. In an optional embodiment, the multiplexed signal outputted after the data preprocessing is demultiplexed according to the demultiplexed signal. Error calculation is performed to obtain error information, and the error information is corrected to obtain the correction information. In another optional embodiment, the multiplexed signal outputted by the data pre-processing is demultiplexed, the signal after the demultiplexing is nonlinearly filtered, and the error is processed according to the nonlinearly filtered signal. The error information is calculated, and the error information is corrected to obtain correction information.

In an alternative embodiment, the nonlinear filtering of the signal after demultiplexing includes:

Where u is the input of the nonlinear filtering module A and/or the nonlinear filtering module B; f _a , f _b are the outputs of the nonlinear filtering module A and/or the nonlinear filtering module B; k ₁ , k ₂ are delay amounts ; K ₁ , K ₁ are the model order; δ (·) is the partial derivative operation.

The error information may also be obtained in multiple implementation manners. In an optional embodiment, the error information is obtained according to the demultiplexed signal or the nonlinear filtering processed signal to obtain multipath error information, and the multipath error information is performed. Choose to get the error information.

In an optional embodiment, the error calculation method for performing error calculation based on the demultiplexed signal or the nonlinear filter processed signal to obtain the multipath error information includes:

Where x _d (n) and z _d (n) are the forward and feedback signals after preprocessing; f _xa (n) and f _za (n) are forward and feedback signals after nonlinear filtering A processing; f _Xb (n) and f _zb (n) are forward and feedback signals processed by nonlinear filtering B.

The above step S102 involves performing data preprocessing on the collected forward signal and the feedback signal. In an optional embodiment, at least one of the following processing is performed on the forward signal and the feedback signal to obtain a processed signal: delay compensation Processing, image filtering processing, gain compensation processing, frequency and phase compensation processing, real-time tracking of delay compensation values, filter compensation values, gain compensation values, and phase compensation values; multiplexing processing of processed signals to output single-channel pre-processing Process the signal.

The above step S106 involves correcting the forward signal using the updated correction parameters. In an optional embodiment, updating the correction parameters according to the correction information includes:

c(n)=μ(n)x(n)e ^H (n)

Where μ and λ are adjustment factors; c is the output of the error correction module; x(n) is the input signal corresponding to the correction parameter; (·) ^H is the conjugate operation; h(n) is the filter coefficient; e is the error module Output.

In the embodiment, a correction processing device is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and will not be described again. As used below, the term "module" may implement a combination of software and/or hardware of a predetermined function. Although the apparatus described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware, is also possible and contemplated.

2 is a structural block diagram of a correction processing apparatus according to an embodiment of the present invention. As shown in FIG. 2, the apparatus includes: a pre-processing module 22 configured to perform data pre-processing on the collected forward signal and the feedback signal, wherein the feedback The signal is a signal obtained after the forward signal is corrected; the real-time adaptor module 24 is configured to obtain correction information according to the signal after the data pre-processing, and update the correction parameter according to the correction information; the corrector module 26 is set to use after the update The correction parameters correct the forward signal.

3 is a block diagram showing the structure of a correction processing apparatus according to an embodiment of the present invention. As shown in FIG. 3, the corrector module 26 includes: a routing module 262, a main correction module 264, a secondary correction module 266, a preparation correction module 268, and a synthesis module. 270, wherein the routing module 262 is configured to allocate the forward signal to one or the plurality of primary correction modules 264, one or more secondary correction modules 266, and one or more backup correction modules 268 for correction; the synthesis module 270, It is set to synthesize the signal obtained after the correction.

Optionally, the main correction module 264, the secondary correction module 266, and the backup correction module 268 perform correction processing on the forward signal according to the envelope information of the forward signal, and the processing manner is:

y _a (n)=P _a (x _a (nk ₁ ),...,x _a (nk _a ), I _b (nl _b ),...,I _c (nl _c ))

y _b (n)=P _b (x _b (nk ₁ ),...,x _b (nk _b ),I _a (nl _a ),...,I _c (nl _c ))

y _c (n)=P _c (x _c (nk ₁ ),...,x _c (nk _c ), I _a (nl _a ),...,I _b (nl _b ))

Where x _a , x _b and x _c are the forward signal components assigned to the primary correction module 264, the secondary correction module 266 and the secondary correction module 268, respectively; n is the signal sample sequence number; k _a , k _b and k _c and l _a , l _b and l _c are the signal delay amounts; y _a , y _b and y _c and I _a , I _b and I _c are the output signals of the main correction module 264, the secondary correction module 266 and the standby correction module 268, respectively. P _a (·), P _b (·), and P _c (·) are correction models of the main correction module 264, the secondary correction module 266, and the preparation correction module 268, respectively.

Optionally, the synthesizing module 270 performs a synthesizing process on the signal obtained after the calibration:

y=y _a +y _b +y _c or

y=y _a *y _b *y _c or

y=(y _a +y _b )*y _c .

4 is a block diagram 2 of a configuration of a correction processing apparatus according to an embodiment of the present invention. As shown in FIG. 4, the real-time adaptor module 24 includes: a first demultiplexing module 242 configured to output multiple paths after data pre-processing. The multiplexed signal is demultiplexed; the first error module 244 is configured to perform error calculation according to the demultiplexed signal to obtain error information; and the first error correction module 246 is configured to perform correction processing on the error information to obtain the correction information.

FIG. 5 is a block diagram 3 of a structure of a calibration processing apparatus according to an embodiment of the present invention. As shown in FIG. 5, the real-time adaptor module 24 further includes: a second demultiplexing module 248, which is multiplexed after data pre-processing. The signal is demultiplexed; the nonlinear filtering module 250 is configured to perform nonlinear filtering processing on the demultiplexed signal; the second error module 252 performs error calculation according to the nonlinear filtered signal to obtain error information; The two error correction module 254 corrects the error information to obtain correction information.

Optionally, the nonlinear filtering module 250 performs nonlinear filtering processing on the demultiplexed signal by:

Where u is the input of the nonlinear filtering module A and/or the nonlinear filtering module B; f _a , f _b are the outputs of the nonlinear filtering module A and/or the nonlinear filtering module B; k ₁ , k ₂ are delay amounts ; K ₁ , K ₁ are the model order; δ (·) is the partial derivative operation.

6 is a structural block diagram of a correction processing apparatus according to an embodiment of the present invention. As shown in FIG. 6, the real-time adaptor module 24 further includes: a selection module 256 configured to be processed according to a demultiplexed signal or a nonlinear filtering process. The signal is subjected to error calculation to obtain multi-path error information, and the error information is obtained by selecting from the multi-path error information.

Optionally, the pre-processing module 22 is further configured to: perform processing on at least one of the following processing on the forward signal and the feedback signal: delay compensation processing, image filtering processing, gain compensation processing, frequency and phase compensation processing The real-time tracking is performed on the delay compensation value, the filter compensation value, the gain compensation value and the phase compensation value; the processed signal is multiplexed to output a single pre-processed signal.

Optionally, the selection module 256 performs error calculations by:

Where x _d (n) and z _d (n) are the forward and feedback signals after preprocessing; f _xa (n) and f _za (n) are forward and feedback signals after nonlinear filtering A processing; f _Xb (n) and f _zb (n) are forward and feedback signals processed by nonlinear filtering B.

Alternatively, the corrector module 26 updates the correction parameters based on the correction information in the following manner:

c(n)=μ(n)x(n)e ^H (n)

Where μ and λ are adjustment factors; c is the output of the error correction module; x(n) is the input signal corresponding to the correction parameter; (·) ^H is the conjugate operation; h(n) is the filter coefficient; e is the error module Output.

It should be noted that each of the foregoing modules may be implemented by software or hardware. For the latter, the foregoing may be implemented by, but not limited to, the foregoing modules are all located in the same processor; or, the above modules are respectively located. In the first processor, the second processor, and the third processor.

The following is a detailed description of the application in the Global System for Mobile Communication (GSM) multi-carrier system.

The optional embodiment proposes a predistortion correction method and device suitable for nonlinear system distortion, and uses a feedback control mechanism to update the nonlinear distortion correction parameter in real time to solve the spectrum diffusion problem caused by the nonlinear distortion of the power amplifier. The specific implementation is as follows:

A digital predistortion correction method and apparatus, comprising:

A corrector module, a preprocessor module, and a real-time adaptor module.

The corrector module is configured to digitally pre-correct the forward signal to improve the distortion of the signal by the nonlinear system module.

The corrector module further includes: a routing module, a main correction module, a secondary correction module, a backup correction module, and a synthesis module.

The routing module is configured to perform routing allocation processing on the forward signal and provide the subsequent module.

The main correction module is configured to perform main correction processing on the signal assigned by the routing module.

The secondary correction module is configured to perform secondary correction processing on the information allocated by the routing module.

The calibration module is configured to update the parameters of the primary calibration module and the secondary calibration module.

The synthesis module is configured to synthesize the outputs of the primary correction module, the secondary correction module, and the backup correction module.

The preprocessor module is configured to digitally preprocess the forward and feedback signals.

The pre-processor module further includes: a delay module, a mirror module, a gain module, a phase module, a multiplexing module, a delay tracking, a mirror tracking, a gain tracking, and a phase tracking module.

The delay module is set to delay calibration processing of the signal.

The mirroring module is set to compensate for the undesirable feedback link.

Gain module, set to gain processing of the feedback signal.

The phase module is set to align the phase offset and frequency offset of the feedback signal.

A multiplexing module configured to multiplex multiple signals.

The delay tracking module is set to calculate and update the signal delay in the delay module.

The image tracking module is set to calculate and update the mirror calibration values in the mirror module.

The gain tracking module is set to calculate and update the gain value in the gain module.

The phase tracking module is set to calculate and update the phase compensation value in the phase module.

The real-time adaptor module is configured to calculate correction information and update the correction parameters of the corrector in real time.

The real-time adaptor module further includes: a demultiplexing module, a nonlinear filtering module A, a nonlinear filtering module B, an error module, a selection module, and an error correction module.

The demultiplexing module is configured to demultiplex the multiplexed signal output by the preprocessor module.

The nonlinear filtering module A/B is set to perform nonlinear filtering processing on the demultiplexed signal.

The error module is configured to perform error calculation according to the demultiplexed signal or the non-linear filter processed signal.

Select the module and set it to select different error information.

The error correction module is configured to correct the error information.

A digital predistortion correction method includes the following steps:

Step 1, parameter initialization; initialization of various parameter configurations and thresholds of the calibration system;

Step 2: real-time data acquisition and verification; real-time acquisition of forward and feedback signals, and verification of the collected signals, if the verification does not pass, re-acquire data;

Step 3: Pre-processing parameter tracking; calculating all pre-processing parameters according to the forward signal and the feedback signal, and updating corresponding pre-processing parameters in real time according to the data change;

Step 4: data preprocessing; performing data preprocessing on the forward signal and the feedback signal;

Step 5: correct the information calculation; perform nonlinear filtering, error calculation and error correction on the preprocessed data to obtain correction information;

Step 6. Correct the parameter update. Updating the correction parameters in real time according to the correction information;

Step 7, correcting the processing; correcting the forward signal to cancel the nonlinear distortion generated by the nonlinear system;

In step 8, the predistortion parameter is adapted in real time; the correction effect is monitored, and steps 2 to 7 are repeated according to the monitoring result to complete the distortion correction of the nonlinear system.

The predistortion correction method proposed by the optional embodiment calculates the parameter correction information in real time by hardware, and updates the correction parameters in real time. Compared with the traditional pre-distortion technology, the correction parameter can not quickly track the characteristic change problem of the nonlinear system, thereby improving the distortion correction speed and performance of the nonlinear system, making the embodiment of the present invention more suitable for system characteristic change and linearity. Where the indicator requirements are high.

7 is a block diagram of a digital predistortion correction apparatus according to an embodiment of the present invention. As shown in FIG. 7, the apparatus includes a corrector module, a preprocessor module, and a real time adaptor module.

The implementation process of a digital predistortion correction method in this alternative embodiment is as follows:

The corrector module performs correction processing on the forward signal according to the envelope information of the forward signal, and the obtained correction signal is output to the subsequent system. The pre-processor obtains the pre-processed signal after processing the forward signal and the feedback signal by delay, gain, frequency and phase. The real-time adaptor performs nonlinear filtering processing, error calculation and error correction processing on the pre-processed signal, obtains the parameter correction information related to the correction effect, and uses the correction information to correct the correction parameters in real time, thereby completing the fast feedback correction of the nonlinear system distortion. .

FIG. 8 is a basic structural diagram of a corrector according to an embodiment of the present invention. As shown in FIG. 8, a routing module, a main calibration module, a secondary correction module, a backup correction module, and a synthesis module are included.

The routing module allocates the forward signals to the primary correction module, the secondary correction module, and the backup correction module.

The main correction module, the auxiliary correction module and the backup correction module correct the forward signal according to the envelope information of the forward signal, and the processing manner is:

y _a (n)=P _a (x _a (nk ₁ ),...,x _a (nk _a ), I _b (nl _b ),...,I _c (nl _c )) (1)

y _b (n)=P _b (x _b (nk ₁ ),...,x _b (nk _b ),I _a (nl _a ),...,I _c (nl _c )) (2)

y _c (n)=P _c (x _c (nk ₁ ),...,x _c (nk _c ), I _a (nl _a ),...,I _b (nl _b )) (3)

Where x _a , x _b and x _c are the forward signal components assigned by the routing module to the primary correction channel, the secondary correction channel and the alternate correction channel, respectively; n is the signal sample sequence number; k _a , k _b and k _c and l _a , l _b and l _c are the signal delay amounts; y _a , y _b and y _c and I _a , I _b and I _c are the output signals of the primary correction channel, the auxiliary correction channel and the preparation correction channel, respectively; P _a ( ·), P _b (·) and P _c (·) are the correction models of the main correction channel, the auxiliary correction channel and the correction channel respectively. The correction model can use multiple sets of low-order filters, Volterra series, memory polynomial, neural The network (such as a BP network, an ART network or a SOM network, etc.), a wavelet network, and a support vector basis, etc., the correction model of the embodiment of the present invention is not limited to the above model.

The synthesis module performs different synthesis processing on the outputs of the main correction module, the secondary correction module, and the backup correction module according to the control signal. The processing manner of the optional embodiment includes but is not limited to the following manners:

y=y _a +y _b +y _c or (4)

y=y _a *y _b *y _c or (5)

y=(y _a +y _b )*y _c (6)

9 is a basic structural diagram of a preprocessor according to an embodiment of the present invention, as shown in FIG. 9, including a delay module, a mirror module, a gain module, a phase module, a multiplexing module, delay tracking, mirror tracking, Gain tracking and phase tracking module. All of the modules in Figure 9 are implemented in a Field Programable Gate Array (FPGA), which can utilize the real-time processing capability of the FPGA, and the processing speed is consistent with the hardware.

The forward signal, the pre-correction signal, and the feedback signal have the following relationship:

The pre-processor module performs data pre-processing on the forward signal and the feedback signal according to equations (7) and (8) such that the forward signal and the feedback signal correspond.

The delay module performs delay compensation processing on the forward signal and the feedback signal.

The mirroring module performs mirror filtering on the forward signal and the feedback signal.

The gain module performs gain compensation processing on the forward and feedback signals.

The phase module performs frequency and phase compensation processing on the forward and feedback signals.

The multiplexing module performs multiplexing processing on the preprocessed multipath signals, and outputs a single preprocessed signal, including the preprocessed forward signal and the preprocessed feedback signal.

The delay tracking module, the image tracking module, the gain tracking module and the phase tracking module perform real-time tracking on the delay compensation value, the filter compensation value, the gain compensation value and the phase compensation value.

10 is a basic structural diagram of a real-time adaptor according to an embodiment of the present invention, as shown in FIG. 10, including a demultiplexing module, a nonlinear filtering module A, a nonlinear filtering module B, an error module, a selection module, and an error correction module. .

The demultiplexing module performs different demultiplexing processing on the multiplexed signals of the preprocessor module and respectively sends them to subsequent modules.

The nonlinear filtering module A/B performs corresponding nonlinear filtering processing on the demultiplexed signal. The nonlinear processing manner of the embodiment of the present invention includes but is not limited to the following manners:

Where u is the input of the nonlinear filtering module; f _a and f _b are the outputs of the nonlinear filtering module; k ₁ and k ₂ are the delay quantities; K ₁ and K ₁ are the model orders; δ(·) is the partial deviation. Conduct operation.

The error module performs error calculation on the demultiplexed signal and the output of the nonlinear filtering module A/B.

The error is calculated as follows:

Where x _d (n) and z _d (n) are the forward and feedback signals after preprocessing; f _xa (n) and f _za (n) are forward and feedback signals after nonlinear filtering A processing; f _Xb (n) and f _zb (n) are forward and feedback signals processed by nonlinear filtering B.

Select the module and choose among the three error information branches.

The error correction module performs error correction processing on the output of the error module, and the corrected error information can be used to update the correction parameters in the corrector module in real time. The input of the error correction module is the error information output by the selection module, and the output is error information for performing correction processing, and the error information is related to the correction effect of the corrector.

Error corrections in this alternative embodiment include, but are not limited to, the following:

c(n)=μ(n)x(n)e ^H (n) (12)

Where μ and λ are adjustment factors; c is the output of the error correction module; x(n) is the input signal corresponding to the correction parameter; (·) ^H is the conjugate operation; h(n) is the filter coefficient; e is the error module Output.

The implementation steps of the above real-time adaptor:

Step 1. Demultiplex the preprocessed signal.

In step 2, the demultiplexed signal is subjected to nonlinear filtering processing according to equations (9) and (10).

In step 3, error information is calculated according to equation (11).

In step 4, the error information is corrected according to equations (12), (13), (14) or (15).

In step 5, the corrected parameter is updated using the corrected error information.

Step 6. Repeat steps 1 to 5 to implement feedback adaptation processing of the correction parameters.

11 is a flowchart of a digital predistortion correction method according to an embodiment of the present invention. As shown in FIG. 11, the flow mainly includes the following steps:

Step S1102, parameter initialization; initializing various parameter configurations and thresholds of the calibration system;

Step S1104, real-time data collection and verification, real-time acquisition of forward and feedback signals;

Step S1106, and the collected signal is verified, if the verification does not pass, step S1104 is performed, if the verification is passed, step S1108 is performed;

Step S1108: Pre-processing parameter tracking; calculating all pre-processing parameters according to the forward signal and the feedback signal, and updating corresponding pre-processing parameters in real time according to the data change;

Step S1110, it is determined whether the parameter is verified, if the determination is no, step S1108 is performed, and if the determination is yes, step S1112 is performed;

Step S1112, data preprocessing; performing data preprocessing on the forward signal and the feedback signal;

Step S1114, it is determined whether the pre-processed signal has passed the verification, in the case of determination of whether it is, step S1112 is performed, if the determination is yes, step S1116 is performed;

Step S1116, correcting information calculation; performing nonlinear filtering, error calculation and error correction on the preprocessed data to obtain correction information;

Step S1118, the parameter update is corrected. The correction parameters are updated in real time based on the correction information.

Step S1120, correcting processing; performing correction processing on the forward signal to cancel nonlinear distortion generated by the nonlinear system;

Step S1122: The predistortion parameter is adaptively adjusted in real time; the correction effect is monitored, and steps S1104 to S1120 are repeated according to the monitoring result to complete the distortion correction of the nonlinear system.

12 is a structural diagram of a digital predistortion correction apparatus according to an embodiment of the present invention. As shown in FIG. 12, the apparatus mainly includes: a baseband signal module, a rate matching module, a corrector module, a DAC module, an ADC module, an upconversion module, Down conversion module, LO module, power amplifier module, coupler module, attenuator module, preprocessor module, real-time adaptor module. This alternative embodiment performs a fast correction for the nonlinear distortion of the power amplifier. The baseband signal module is configured to generate a downlink signal; the rate matching module is configured to interpolate and filter the baseband signal; the DAC/ADC module is set to digital-to-analog/analog-to-digital conversion; and the up-conversion module is configured to modulate the DAC output signal to the radio frequency; The LO module is configured to generate sinusoidal and cosine local oscillator signals; the power amplifier module is configured to amplify the RF signal; the coupler module is configured to sample the signal; and the attenuator module is configured to attenuate the output signal of the coupler coupled to the coupler; The frequency conversion module is configured to demodulate the attenuator output signal to a low frequency point.

The main implementation steps of the above-mentioned power amplifier nonlinear fast correction specific embodiment:

Step 1: sampling the power amplifier signal; collecting the analog output signal of the power amplifier;

Step 2, analog to digital conversion; converting the analog signal into a digital signal;

Step 3: data preprocessing; performing data preprocessing on the forward signal and the feedback signal;

Step 4, correcting information calculation; performing nonlinear filtering and error calculation on the preprocessed data to obtain correction information;

Step 5, correcting parameter update; using the correction information to update the correction parameter in the corrector in real time;

Step 6, the signal is pre-corrected; and the output signal of the rate matching module is pre-corrected.

13 is a schematic diagram of a method for nonlinear fast correction of a power amplifier according to an embodiment of the present invention. As shown in FIG. 13, a baseband signal is subjected to a rate matching module to implement pulse shaping and rate conversion, and the obtained forward signal is subjected to correction processing to generate a pre-corrected signal. Then, digital-to-analog conversion is performed to convert the digital signal to the analog signal. At the same time, the output sampling signal of the power amplifier is subjected to a feedback digital signal through an analog-to-digital conversion module. After signal preprocessing of the forward signal and the feedback digital signal, the parameter correction information is calculated, and the correction parameters are updated in real time to complete the fast correction of the distortion generated by the power amplifier.

The embodiments of the present invention have been described in detail by way of specific embodiments thereof, and the description of the embodiments of the present invention are provided to enable those skilled in the art to make or use the embodiments of the present invention. It is easy for the technician to understand. The embodiment of the present invention is not limited to correcting only the GSM multi-carrier signal, and is for GSM, Code Division Multiple Access (CDMA), and Universal Mobile Telecommunications System (UMTS). Time Division-Synchronous Code Division Multiple Access (TD-SCDMA), Long-Term Evolution (LTE), and Worldwide Interoperability for Microwave Access , referred to as Wimax) and various mixed-mode signals, the correction speed and correction effect is better than the traditional pre-distortion technology. Alternative embodiments of the present invention are applicable to GSM, CDMA, UMTS, TD-SCDMA, LTE, and WiMAX single mode or multimode systems.

In summary, the optional embodiment of the present invention provides a digital predistortion correction method and apparatus, which directly uses the hardware calculation and the correction information related to the predistortion effect to update the predistortion parameters in real time, and utilizes the fast calculation capability of the hardware. It can improve the correction speed and correction performance of nonlinear system distortion.

In another embodiment, a software is provided that is configured to perform the technical solutions described in the above embodiments and preferred embodiments.

In another embodiment, a storage medium is further provided, wherein the software includes the above-mentioned software, including but not limited to: an optical disk, a floppy disk, a hard disk, an erasable memory, and the like.

It will be apparent to those skilled in the art that the various modules or steps of the present invention described above can be implemented by a general-purpose computing device that can be centralized on a single computing device or distributed across multiple computing devices. Optionally, they may be implemented by program code executable by the computing device such that they may be stored in the storage device by the computing device and, in some cases, may be different from this The steps shown or described are performed sequentially, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps thereof are fabricated into a single integrated circuit module. Thus, the invention is not limited to any specific combination of hardware and software.

The above description is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Industrial applicability

As described above, with the above embodiments and preferred embodiments, the problem of poor pre-distortion tracking effect due to real-time changes in traffic in the related art is solved, and the correction speed and correction performance of nonlinear system distortion are improved.

Claims (22)

1. A correction processing method includes:

   Data preprocessing is performed on the collected forward signal and the feedback signal, wherein the feedback signal is a signal obtained after the forward signal is corrected;

   Correcting information is obtained according to the signal preprocessed by the data, and the correction parameter is updated according to the correction information;

   The forward signal is corrected using the updated correction parameters.
2. The method of claim 1 wherein correcting the forward signal using the updated correction parameters comprises:

   The forward signal is allocated to the correction module for correction, wherein the correction module comprises at least one of: one or more primary correction modules, one or more secondary correction modules, one or more backup correction modules;

   The signal obtained after the correction is subjected to synthesis processing.
3. The method of claim 2, wherein assigning the forward signal to the correction module for correction comprises:

   The primary correction module, the secondary correction module, and the backup correction module perform correction processing on the forward signal according to the envelope information of the forward signal, and the processing manner is:

   y _a (n)=P _a (x _a (nk ₁ ),...,x _a (nk _a ), I _b (nl _b ),...,I _c (nl _c ))

   y _b (n)=P _b (x _b (nk ₁ ),...,x _b (nk _b ),I _a (nl _a ),...,I _c (nl _c ))

   y _c (n)=P _c (x _c (nk ₁ ),...,x _c (nk _c ), I _a (nl _a ),...,I _b (nl _b ))

   Where x _a , x _b and x _c are forward signal components respectively allocated to the primary correction module, the secondary correction module and the secondary correction module; n is a signal sampling sequence number; k _a , k _b and k _c and l _a , l _b and l _c are signal delay amounts; y _a , y _b and y _c and I _a , I _b and I _c are respectively said main correction module, said secondary correction module and said The output signals of the correction module; P _a (·), P _b (·), and P _c (·) are correction models of the main correction module, the auxiliary correction module, and the preparation correction module, respectively.
4. The method according to claim 3, wherein the synthesizing the signal after the correction is obtained comprises:

   y=y _a +y _b +y _c or

   y=y _a *y _b *y _c or

   y=(y _a +y _b )*y _c .
5. The method according to claim 1, wherein the obtaining the correction information according to the signal subjected to the data pre-processing comprises:

   Demultiplexing the multiplexed signal output after data preprocessing;

   Error calculation is performed according to the demultiplexed signal to obtain error information;

   Correcting the error information to obtain the correction information.
6. The method according to claim 1, wherein the obtaining the correction information according to the signal subjected to the data pre-processing comprises:

   Demultiplexing the multiplexed signal output after data preprocessing;

   Performing a nonlinear filtering process on the signal after demultiplexing;

   Error calculation is performed according to the signal processed by the nonlinear filtering to obtain error information;

   Correcting the error information to obtain the correction information.
7. The method of claim 6 wherein the nonlinear filtering of the signal after demultiplexing comprises:

   

   

   Where u is an input of the nonlinear filtering module A and/or the nonlinear filtering module B; f _a , f _b are outputs of the nonlinear filtering module A and/or the nonlinear filtering module B; k ₁ and k ₂ are delay quantities; K ₁ and K ₁ are model orders; δ(·) is a partial derivative operation.
8. The method according to claim 5 or 6, wherein the error calculation based on the demultiplexed signal or the non-linear filter processed signal to obtain the error information comprises:

   Performing error calculation according to the demultiplexed signal or the nonlinear filtering processed signal to obtain multipath error information;

   Selecting from the multipath error information results in the error information.
9. The method of claim 1 wherein performing data preprocessing on the acquired forward signal and the feedback signal comprises:

   Performing at least one of the following processing on the forward signal and the feedback signal to obtain a processed signal:

   Time delay compensation processing, image filtering processing, gain compensation processing, frequency and phase compensation processing, real-time tracking of delay compensation values, filter compensation values, gain compensation values, and phase compensation values;

   The processed signal is multiplexed to output a single preprocessed signal.
10. The method according to claim 8, wherein the error calculation method for performing error calculation based on the demultiplexed signal or the non-linear filter processed signal to obtain the multipath error information comprises:

    

    Where x _d (n) and z _d (n) are preprocessed forward and feedback signals; f _xa (n) and f _za (n) are forward and feedback processed by the nonlinear filtering module A The signals; f _xb (n) and f _zb (n) are forward and feedback signals processed by the nonlinear filtering module B.
11. The method of claim 1, wherein updating the correction parameters based on the correction information comprises:

    c(n)=μ(n)x(n)e ^H (n)

    

    

    

    Where μ and λ are adjustment factors; c is the output of the error correction module; x(n) is the input signal corresponding to the correction parameter; (·) ^H is the conjugate operation; h(n) is the filter coefficient; e is the error module Output.
12. A correction processing device, the device comprising:

    a pre-processing module, configured to perform data pre-processing on the collected forward signal and the feedback signal, wherein the feedback signal is a signal obtained after the forward signal is corrected;

    The real-time adaptor module is configured to obtain correction information according to the signal after the data pre-processing, and update the correction parameter according to the correction information;

    A corrector module is arranged to correct the forward signal using the updated calibration parameters.
13. The apparatus of claim 12, comprising: the corrector module comprising: a routing module, a primary correction module, a secondary correction module, and a backup correction module, wherein the routing module is configured to assign the forward signal to One or the plurality of primary correction modules, one or more of the secondary correction modules, and one or more of the preparation correction modules perform correction; and the synthesis module is configured to perform synthesis processing on the signals obtained after the correction.
14. The apparatus of claim 13 comprising:

    The primary correction module, the secondary correction module, and the backup correction module perform correction processing on the forward signal according to the envelope information of the forward signal, and the processing manner is:

    y _a (n)=P _a (x _a (nk ₁ ),...,x _a (nk _a ), I _b (nl _b ),...,I _c (nl _c ))

    y _b (n)=P _b (x _b (nk ₁ ),...,x _b (nk _b ),I _a (nl _a ),...,I _c (nl _c ))

    y _c (n)=P _c (x _c (nk ₁ ),...,x _c (nk _c ), I _a (nl _a ),...,I _b (nl _b ))

    Where x _a , x _b and x _c are forward signal components respectively allocated to the primary correction module, the secondary correction module and the secondary correction module; n is a signal sampling sequence number; k _a , k _b and k _c and l _a , l _b and l _c are signal delay amounts; y _a , y _b and y _c and I _a , I _b and I _c are respectively said main correction module, said secondary correction module and said The output signals of the correction module; P _a (·), P _b (·), and P _c (·) are correction models of the main correction module, the auxiliary correction module, and the preparation correction module, respectively.
15. The apparatus according to claim 14, wherein the synthesizing module performs a synthesizing process on the signal obtained after the correction is:

    y=y _a +y _b +y _c or

    y=y _a *y _b *y _c or

    y=(y _a +y _b )*y _c .
16. The apparatus of claim 12 wherein said real time adaptor module comprises:

    a first demultiplexing module configured to demultiplex the multiplexed signal output after the data is preprocessed;

    The first error module is configured to perform error calculation according to the demultiplexed signal to obtain error information;

    The first error correction module is configured to perform correction processing on the error information to obtain the correction information.
17. The device of claim 12, wherein the real-time adaptor module further comprises:

    a second demultiplexing module that demultiplexes the multiplexed signal output after the data is preprocessed;

    a nonlinear filtering module configured to perform nonlinear filtering processing on the signal after demultiplexing;

    The second error module obtains error information by performing error calculation according to the signal after the nonlinear filtering process;

    The second error correction module performs correction processing on the error information to obtain the correction information.
18. The apparatus according to claim 16, wherein said nonlinear filtering module performs nonlinear filtering processing on the demultiplexed signal by:

    

    

    Where u is an input of the nonlinear filtering module A and/or the nonlinear filtering module B; f _a , f _b are outputs of the nonlinear filtering module A and/or the nonlinear filtering module B; k ₁ and k ₂ are delay quantities; K ₁ and K ₁ are model orders; δ(·) is a partial derivative operation.
19. The device of claim 16 or 17, wherein the real-time adaptor module further comprises:

    The selection module is configured to perform error calculation according to the demultiplexed signal or the non-linear filter processed signal to obtain multipath error information, and select the error information from the multipath error information.
20. The apparatus of claim 12, wherein the pre-processing module is further configured to:

    Performing at least one of the following processing on the forward signal and the feedback signal to obtain a processed signal:

    Time delay compensation processing, image filtering processing, gain compensation processing, frequency and phase compensation processing, real-time tracking of delay compensation values, filter compensation values, gain compensation values, and phase compensation values;

    The processed signal is multiplexed to output a single preprocessed signal.
21. The apparatus according to claim 19, wherein said selection module performs error calculation by:

    

    Where x _d (n) and z _d (n) are preprocessed forward and feedback signals; f _xa (n) and f _za (n) are forward and feedback processed by the nonlinear filtering module A The signals; f _xb (n) and f _zb (n) are forward and feedback signals processed by the nonlinear filtering module B.
22. The apparatus according to claim 12, wherein said corrector module updates the correction parameter based on said correction information by:

    c(n)=μ(n)x(n)e ^H (n)

    

    

    

    Where μ and λ are adjustment factors; c is the output of the error correction module; x(n) is the input signal corresponding to the correction parameter; (·) ^H is the conjugate operation; h(n) is the filter coefficient; e is the error module Output.

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