CN105704075A - Correction processing method and correction processing device - Google Patents

Abstract

The invention discloses a correction processing method and a correction processing device. The method comprises the following steps: performing data preprocessing on a forward signal and a feedback signal which are acquired, wherein the feedback signal is a signal obtained by correcting the forward signal; getting correction information according to the signals after data preprocessing, and updating correction parameters according to the correction information; and correcting the forward signal based on the updated correction parameters. Through the method and the device, the problem that the pre-distortion tracking effect is poor due to real-time change of service in the related technologies is solved, and the correction speed and correction performance for nonlinear system distortion are improved.

Description

Correction processing method and device

Technical field

The present invention relates to the communications field, in particular to correction processing method and device。

Background technology

Development along with mobile communication, frequency spectrum resource is more and more rare, in order to improve spectrum utilization efficiency, often adopt advanced broadband digital transmission technology and high efficiency modulation system (as WCDMA accesses (CodeDivisionMultipleAccess, referred to as CDMA), nQAM and OFDM (OrthogonalFrequencyDivisionMultiplexing, referred to as OFDM) etc.), but, these modulation systems can produce intermodulation distortion when power amplifier is operated in close to saturation region, this causes that power amplifier produces serious non-linear distortion, these non-linear distortions can cause signal distortion then to affect the demodulation of signal in time domain, frequency spectrum diffusion can be caused then Lin Dao to be produced interference at frequency domain。The approach solving non-linearity of power amplifier problem of dtmf distortion DTMF is to adopt back-off technology, but this result in again the inefficient and high power consumption of power amplifier。Therefore, the compromise requirement of frequency efficiency and power amplification efficiency adopts certain treatment technology that the non-linear distortion of power amplifier is corrected, and not high with its cost and better performances the advantage of digital pre-distortion technology becomes the primary selection of current nonlinear system distortion correction。

In mobile communication system, the characteristic of power amplifier changes along with the change of excitation, ambient temperature and device aging, simultaneously as the real-time change of business can cause that signal distributions and power produce change, these changes all can cause the transient degradation of predistortion correction effect；Therefore, in order to improve the improvement effect of power amplifier non-linear distortion, it is necessary to correction parameter is carried out adaptive updates。Traditional pre-distortion algorithms through data acquisition and upload, pretreatment, parameter extraction and parameter download the renewal realizing pre-distortion parameters, these processes are all that off-line carries out, thus pre-distortion parameters renewal speed is very slow, especially under reply data characteristic or the fast-changing scene of power amplifier characteristic, predistortion tracking effect is poor。

For in correlation technique, the problem that the predistortion tracking effect that causes due to the real-time change of business is poor, effective solution is not also proposed。

Summary of the invention

The invention provides a kind of correction processing method and device, the problem poor at least to solve the predistortion tracking effect that causes due to the real-time change of business in correlation technique。

According to an aspect of the invention, it is provided a kind of correction processing method, including: to collecting forward signal and feedback signal carries out data prediction, wherein, described feedback signal be described forward signal corrected after the signal that obtains；Obtain update information according to the signal after data prediction, and update correction parameter according to described update information；Use the correction parameter after updating that described forward signal is corrected。

Further, the correction parameter after updating is used to be corrected including to described forward signal: described forward signal to be distributed to correction module and is corrected, wherein, described correction module includes at least one of: one or more main correction modules, one or more auxiliary correction module, one or more standby correction module；The signal obtained after correction is carried out synthesis process。

Further, described forward signal is distributed to correction module be corrected including afterwards: described forward signal is corrected processing by described main correction module, described auxiliary correction module and described standby correction module according to the envelope information of described forward signal, and its processing mode is:

y_a(n)=P_a(x_a(n-k₁) ..., x_a(n-k_a), I_b(n-l_b) ..., I_c(n-l_c))

y_b(n)=P_b(x_b(n-k₁) ..., x_b(n-k_b), I_a(n-l_a) ..., I_c(n-l_c))

y_c(n)=P_c(x_c(n-k₁) ..., x_c(n-k_c), I_a(n-l_a) ..., I_b(n-l_b))

Wherein, x_a、x_bAnd x_cRespectively distribute to the forward signal component of described main correction module, described auxiliary correction module and described standby correction module distribution；N is signal sampling sequence number；K_a、k_bAnd k_cAnd l_a、l_bAnd l_cRespectively signal delay amount；Y_a、y_bAnd y_cAnd I_a、I_bAnd I_cThe respectively output signal of described main correction module, described auxiliary correction module and described standby correction module；P_a(·)、P_b() and P_cThe calibration model of () respectively described main correction module, described auxiliary correction module and described standby correction module。

Further, the signal corrected after obtaining carries out synthesis process to include:

Y=y_a+y_b+ycor

Y=y_a*y_b*ycor

Y=(y_a+y_b)*y_c。

Further, obtain update information according to the signal after carrying out data prediction to include: the multiplex signal of output after data prediction is demultiplexed；Carry out Error Calculation according to the signal after demultiplexing and obtain control information；Described control information is modified process and obtains described update information。

Further, obtain update information according to the signal after carrying out data prediction to include: the multiplex signal of output after data prediction is demultiplexed；Signal after demultiplexing is carried out nonlinear filtering process；Signal after processing according to nonlinear filtering carries out Error Calculation and obtains control information；Described control information is modified process and obtains described update information。

Further, the signal after demultiplexing carries out nonlinear filtering process to include:

$f_a\left(n\right)=\left[1\right|u(n-k_1)|,...,{\left|u(n-k_1)\right|}^{K_1}|u(n-k_2)|,...,{\left|u(n-k_2)\right|}^{K_2},...]$

$f_b\left(n\right)=[\frac{\mathrm{\δ}{y}_b\left(n\right)}{\mathrm{\δ}{x}_b(n-k_1)},\frac{\mathrm{\δ}{y}_b\left(n\right)}{\mathrm{\δ}{x}_b(n-k_2)},...,\frac{\mathrm{\δ}{y}_b\left(n\right)}{\mathrm{\δ}{x}_b(n-k_b)}]$

Wherein, u is described nonlinear filtering modules A and/or the input of described nonlinear filtering module B；F_a、f_bOutput for described nonlinear filtering modules A and/or described nonlinear filtering module B；K₁、k₂For retardation；K₁、K₁For model order；δ () is for seeking derivative operation。

Further, the signal processed according to the signal after demultiplexing or nonlinear filtering carries out Error Calculation and obtains control information and include: the signal processed according to the signal after demultiplexing or nonlinear filtering carries out Error Calculation and obtains multiple path errors information；From described multiple path errors information, carry out selection obtain described control information。

Further, to collecting forward signal and feedback signal carries out data prediction and includes: described forward signal and described feedback signal to be carried out the signal after at least one of following process is processed: delay compensation process, mirror image Filtering Processing, gain compensation process, frequency and phase compensation process, delay compensation value, filtering compensation value, gain compensation value and phase compensation value are carried out real-time tracking；Signal after described process is carried out multiplexing process output single channel preprocessed signal。

Further, the signal processed according to the signal after demultiplexing or nonlinear filtering carries out Error Calculation and obtains the error calculation method of multiple path errors information and include:

$\left\{\begin{array}{c}{e}_a\left(n\right)=x_d\left(n\right)-z_d\left(n\right)\\ e_b\left(n\right)=f_{\mathrm{xa}}\left(n\right)-f_{\mathrm{za}}\left(n\right)\\ e_c\left(n\right)=f_{\mathrm{xb}}\left(n\right)-f_{\mathrm{zb}}\left(n\right)\end{array}\right.$

Wherein, x_d(n) and z_dN () is pretreated forward direction and feedback signal；F_xa(n) and f_zaN () is the forward direction after described nonlinear filtering A process and feedback signal；F_xb(n) and f_zbN () is the forward direction after described nonlinear filtering B process and feedback signal。

Further, update correction parameter according to described update information to include:

Wherein, μ, λ are regulatory factor；C is the output of error correction module；X (n) is input signal corresponding to correction parameter；()^HFor conjugate operation；H (n) is filter factor；E is the output of error module。

According to another aspect of the present invention, additionally providing a kind of correction processing device, described device includes: pretreatment module, for collecting forward signal and feedback signal carries out data prediction, wherein, described feedback signal be described forward signal corrected after the signal that obtains；Adapt to device module in real time, for obtaining update information according to the signal after data prediction, and update correction parameter according to described update information；Corrector module, is corrected described forward signal for the correction parameter after using renewal。

Further, described corrector module includes: routing module, main correction module, auxiliary correction module and standby correction module, wherein, routing module, for described forward signal is distributed to one or the plurality of main correction module, one or more described auxiliary correction module, one or more described standby correction module are corrected；Synthesis module, for carrying out synthesis process to the signal obtained after correction。

Further, described forward signal is corrected processing by described main correction module, described auxiliary correction module and described standby correction module according to the envelope information of described forward signal, and its processing mode is:

y_a(n)=P_a(x_a(n-k₁) ..., x_a(n-k_a), I_b(n-l_b) ..., I_c(n-l_c))

y_b(n)=P_b(x_b(n-k₁) ..., x_b(n-k_b), I_a(n-l_a) ..., I_c(n-l_c))

y_c(n)=P_c(x_c(n-k₁) ..., x_c(n-k_c), I_a(n-l_a) ..., I_b(n-l_b))

Wherein, x_a、x_bAnd x_cRespectively distribute to the forward signal component of described main correction module, described auxiliary correction module and described standby correction module distribution；N is signal sampling sequence number；K_a、k_bAnd k_cAnd l_a、l_bAnd l_cRespectively signal delay amount；Y_a、y_bAnd y_cAnd I_a、I_bAnd I_cThe respectively output signal of described main correction module, described auxiliary correction module and described standby correction module；P_a(·)、P_b() and P_cThe calibration model of () respectively described main correction module, described auxiliary correction module and described standby correction module。

Further, the mode that the signal obtained after correction is carried out synthesis process by described synthesis module is:

Y=y_a+y_b+y_cor

Y=y_a*y_b*y_cor

Y=(y_a+y_b)*y_c。

Further, described real-time adaptation device module includes: the first demultiplexing module, for the multiplex signal of output after data prediction is demultiplexed；First error module, obtains control information for carrying out Error Calculation according to the signal after demultiplexing；First error correction module, obtains described update information for described control information is modified process。

Further, described real-time adaptation device module also includes: the second demultiplexing module, and the multiplex signal of output after data prediction is demultiplexed；Nonlinear filtering module, for carrying out nonlinear filtering process to the signal after demultiplexing；Second error module, the signal after processing according to nonlinear filtering carries out Error Calculation and obtains control information；Second error correction module, is modified process to described control information and obtains described update information。

Further, the signal after demultiplexing is carried out nonlinear filtering process by described nonlinear filtering module in the following manner:

$f_a\left(n\right)=\left[1\right|u(n-k_1)|,...,{\left|u(n-k_1)\right|}^{K_1}|u(n-k_2)|,...,{\left|u(n-k_2)\right|}^{K_2},...]$

$f_b\left(n\right)=[\frac{\mathrm{\δ}{y}_b\left(n\right)}{\mathrm{\δ}{x}_b(n-k_1)},\frac{\mathrm{\δ}{y}_b\left(n\right)}{\mathrm{\δ}{x}_b(n-k_2)},...,\frac{\mathrm{\δ}{y}_b\left(n\right)}{\mathrm{\δ}{x}_b(n-k_b)}]$

Wherein, u is described nonlinear filtering modules A and/or the input of described nonlinear filtering module B；F_a、f_bOutput for described nonlinear filtering modules A and/or described nonlinear filtering module B；K₁、k₂For retardation；K₁、K₁For model order；δ () is for seeking derivative operation。

Further, described real-time adaptation device module also includes: select module, signal for processing according to the signal after demultiplexing or nonlinear filtering carries out Error Calculation and obtains multiple path errors information, carries out selection and obtain described control information from described multiple path errors information。

Further, described pretreatment module is additionally operable to: described forward signal and described feedback signal carry out the signal after at least one of following process is processed: delay compensation process, mirror image Filtering Processing, gain compensation process, frequency and phase compensation process, delay compensation value, filtering compensation value, gain compensation value and phase compensation value are carried out real-time tracking；Signal after described process is carried out multiplexing process output single channel preprocessed signal。

Further, described selection module carries out Error Calculation in the following manner:

$\left\{\begin{array}{c}{e}_a\left(n\right)=x_d\left(n\right)-z_d\left(n\right)\\ e_b\left(n\right)=f_{\mathrm{xa}}\left(n\right)-f_{\mathrm{za}}\left(n\right)\\ e_c\left(n\right)=f_{\mathrm{xb}}\left(n\right)-f_{\mathrm{zb}}\left(n\right)\end{array}\right.$

Wherein, x_d(n) and z_dN () is pretreated forward direction and feedback signal；F_xa(n) and f_zaN () is the forward direction after described nonlinear filtering A process and feedback signal；F_xb(n) and f_zbN () is the forward direction after described nonlinear filtering B process and feedback signal。

Further, described corrector module updates correction parameter according to described update information in the following manner:

Wherein, μ, λ are regulatory factor；C is the output of error correction module；X (n) is input signal corresponding to correction parameter；()^HFor conjugate operation；H (n) is filter factor；E is the output of error module。

By the present invention, adopt collecting forward signal and feedback signal carries out data prediction, wherein, feedback signal be forward signal corrected after the signal that obtains；Obtain update information according to the signal after data prediction, and update correction parameter according to update information；Use the correction parameter after updating that forward signal is corrected。Solve the problem that the predistortion tracking effect caused due to the real-time change of business in correlation technique is poor, improve correction rate and the correction performance of nonlinear system distortion。

Accompanying drawing explanation

Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, and the schematic description and description of the present invention is used for explaining the present invention, is not intended that inappropriate limitation of the present invention。In the accompanying drawings:

Fig. 1 is the flow chart of correction processing method according to embodiments of the present invention；

Fig. 2 is the structured flowchart of correction processing device according to embodiments of the present invention；

Fig. 3 is the structured flowchart one of correction processing device according to embodiments of the present invention；

Fig. 4 is the structured flowchart two of correction processing device according to embodiments of the present invention；

Fig. 5 is the structured flowchart three of correction processing device according to embodiments of the present invention；

Fig. 6 is the structured flowchart four of correction processing device according to embodiments of the present invention；

Fig. 7 is digital pre-distortion correcting unit Organization Chart according to embodiments of the present invention；

Fig. 8 is the basic block diagram of corrector according to embodiments of the present invention；

Fig. 9 is the basic block diagram of preprocessor according to embodiments of the present invention；

Figure 10 is the basic block diagram adapting to device in real time according to embodiments of the present invention；

Figure 11 is digital pre-distortion bearing calibration flow chart according to embodiments of the present invention；

Figure 12 is digital pre-distortion correcting unit structure chart according to embodiments of the present invention；

Figure 13 is the non-linear method for quickly correcting schematic diagram of power amplifier according to embodiments of the present invention。

Detailed description of the invention

Below with reference to accompanying drawing and describe the present invention in detail in conjunction with the embodiments。It should be noted that when not conflicting, the embodiment in the application and the feature in embodiment can be mutually combined。

Providing a kind of correction processing method in the present embodiment, Fig. 1 is the flow chart of correction processing method according to embodiments of the present invention, as it is shown in figure 1, this flow process comprises the steps:

Step S102, to collecting forward signal and feedback signal carries out data prediction, wherein, feedback signal be forward signal corrected after the signal that obtains；

Step S104, obtains update information according to the signal after data prediction, and updates correction parameter according to update information；

Step S106, uses the correction parameter after updating that forward signal is corrected。

Pass through above-mentioned steps, the feedback signal obtained after forward signal is corrected and forward signal, obtain update information after above-mentioned signal is carried out pretreatment, then update correction parameter according to this update information, use real-time forward signal is corrected of correction parameter after updating。Compared to correlation technique, above-mentioned steps employs feedback signal and correction parameter is updated by forward signal, solve the problem that the predistortion tracking effect caused due to the real-time change of business is poor, improve correction rate and the correction performance of nonlinear system distortion。

Above-mentioned steps S106 relate to use update after correction parameter forward signal is corrected, it is necessary to explanation be, it is possible in several ways use update after correction parameter forward signal is corrected, below this is illustrated。In one alternate embodiment, forward signal is distributed to the main correction module of correction module, auxiliary correction module or standby correction module be corrected, wherein it is possible to complete correction by main correction module, auxiliary correction module or standby correction module one of them or combination in any。In another alternative embodiment, the signal obtained after correction is carried out synthesis process, in order to by the signal transmission after synthesis to next module。

It is explained for an alternative embodiment below。

In this alternative embodiment, this forward signal is corrected processing by main correction module, auxiliary correction module and standby correction module according to the envelope information of forward signal, and its processing mode is:

y_a(n)=P_a(x_a(n-k₁) ..., x_a(n-k_a), I_b(n-l_b) ..., I_c(n-l_c))

y_b(n)=P_b(x_b(n-k₁) ..., x_b(n-k_b), I_a(n-l_a) ..., I_c(n-l_c))

y_c(n)=P_c(x_c(n-k₁) ..., x_c(n-k_c), I_a(n-l_a) ..., I_b(n-l_b))

Wherein, x_a、x_bAnd x_cRespectively distribute to the forward signal component of main correction module, auxiliary correction module and standby correction module distribution；N is signal sampling sequence number；K_a、k_bAnd k_cAnd l_a、l_bAnd l_cRespectively signal delay amount；Y_a、y_bAnd y_cAnd I_a、I_bAnd I_cThe respectively output signal of main correction module, auxiliary correction module and standby correction module；P_a(·)、P_b() and P_cThe calibration model of () respectively main correction module, auxiliary correction module and standby correction module。

In one alternate embodiment, the signal corrected after obtaining carries out synthesis process to include:

Y=y_a+y_b+y_cor

Y=y_a*y_b*y_cor

Y=(y_a+y_b)*y_c

Above-mentioned steps S104 relates to and obtains update information according to the signal after data prediction, in one alternate embodiment, the multiplex signal of output after data prediction is demultiplexed, carry out Error Calculation according to the signal after demultiplexing and obtain control information, control information is modified process and obtains this update information。In another alternative embodiment, the multiplex signal of output after data prediction is demultiplexed, signal after demultiplexing is carried out nonlinear filtering process, signal after processing according to nonlinear filtering carries out Error Calculation and obtains control information, control information is modified process and obtains update information。

In one alternate embodiment, the signal after demultiplexing carries out nonlinear filtering process to include:

$f_a\left(n\right)=\left[1\right|u(n-k_1)|,...,{\left|u(n-k_1)\right|}^{K_1}|u(n-k_2)|,...,{\left|u(n-k_2)\right|}^{K_2},...]$

$f_b\left(n\right)=[\frac{\mathrm{\δ}{y}_b\left(n\right)}{\mathrm{\δ}{x}_b(n-k_1)},\frac{\mathrm{\δ}{y}_b\left(n\right)}{\mathrm{\δ}{x}_b(n-k_2)},...,\frac{\mathrm{\δ}{y}_b\left(n\right)}{\mathrm{\δ}{x}_b(n-k_b)}]$

Wherein, u is nonlinear filtering modules A and/or the input of nonlinear filtering module B；F_a、f_bOutput for nonlinear filtering modules A and/or nonlinear filtering module B；K₁、k₂For retardation；K₁、K₁For model order；δ () is for seeking derivative operation。

The acquisition of control information can also have multiple implementation, in one alternate embodiment, signal according to the signal after demultiplexing or nonlinear filtering process carries out Error Calculation and obtains multiple path errors information, carries out selection and obtain control information from multiple path errors information。

In one alternate embodiment, the signal processed according to the signal after demultiplexing or nonlinear filtering carries out Error Calculation and obtains the error calculation method of multiple path errors information and include:

$\left\{\begin{array}{c}{e}_a\left(n\right)=x_d\left(n\right)-z_d\left(n\right)\\ e_b\left(n\right)=f_{\mathrm{xa}}\left(n\right)-f_{\mathrm{za}}\left(n\right)\\ e_c\left(n\right)=f_{\mathrm{xb}}\left(n\right)-f_{\mathrm{zb}}\left(n\right)\end{array}\right.$

Wherein, x_d(n) and z_dN () is pretreated forward direction and feedback signal；F_xa(n) and f_zaN () is the forward direction after nonlinear filtering A process and feedback signal；F_xb(n) and f_zbN () is the forward direction after nonlinear filtering B process and feedback signal。

Above-mentioned steps S102 relates to collecting forward signal and feedback signal carries out data prediction, in one alternate embodiment, forward signal and feedback signal are carried out the signal after at least one of following process is processed: delay compensation process, mirror image Filtering Processing, gain compensation process, frequency and phase compensation process, delay compensation value, filtering compensation value, gain compensation value and phase compensation value are carried out real-time tracking；Signal after processing is carried out multiplexing process output single channel preprocessed signal。

Above-mentioned steps S106 relates to and uses the correction parameter after updating that forward signal is corrected, and in one alternate embodiment, updates correction parameter according to update information and includes:

Wherein, μ, λ are regulatory factor；C is the output of error correction module；X (n) is input signal corresponding to correction parameter；()^HFor conjugate operation；H (n) is filter factor；E is the output of error module。

Additionally providing a kind of correction processing device in the present embodiment, this device is used for realizing above-described embodiment and preferred implementation, has be carried out repeating no more of explanation。As used below, term " module " can realize the software of predetermined function and/or the combination of hardware。Although the device described by following example preferably realizes with software, but hardware, or the realization of the combination of software and hardware is also likely to and is contemplated。

Fig. 2 is the structured flowchart of correction processing device according to embodiments of the present invention, as in figure 2 it is shown, this device includes: pretreatment module 22, for collecting forward signal and feedback signal carries out data prediction, wherein, feedback signal be forward signal corrected after the signal that obtains；Adapt to device module 24 in real time, for obtaining update information according to the signal after data prediction, and update correction parameter according to update information；Corrector module 26, is corrected forward signal for the correction parameter after using renewal。

Fig. 3 is the structured flowchart one of correction processing device according to embodiments of the present invention, as shown in Figure 3, corrector module 26 includes: routing module 262, main correction module 264, auxiliary correction module 266 and standby correction module 268, wherein, routing module 262, for forward signal is distributed to one or the plurality of main correction module 264, one or more auxiliary correction module 266, one or more standby correction module 268 are corrected；Synthesis module 270, for carrying out synthesis process to the signal obtained after correction。

Alternatively, forward signal is corrected processing by main correction module 264, auxiliary correction module 266 and standby correction module 268 according to the envelope information of forward signal, and its processing mode is:

y_a(n)=P_a(x_a(n-k₁) ..., x_a(n-k_a), I_b(n-l_b) ..., I_c(n-l_c))

y_b(n)=P_b(x_b(n-k₁) ..., x_b(n-k_b), I_a(n-l_a) ..., I_c(n-l_c))

y_c(n)=P_c(x_c(n-k₁) ..., x_c(n-k_c), I_a(n-l_a) ..., I_b(n-l_b))

Wherein, x_a、x_bAnd x_cRespectively distribute to the forward signal component of main correction module 264, auxiliary correction module 266 and standby correction module 268 distribution；N is signal sampling sequence number；K_a、k_bAnd k_cAnd l_a、l_bAnd l_cRespectively signal delay amount；Y_a、y_bAnd y_cAnd I_a、I_bAnd I_cThe respectively output signal of main correction module 264, auxiliary correction module 266 and standby correction module 268；P_a(·)、P_b() and P_cThe calibration model of () respectively main correction module 264, auxiliary correction module 266 and standby correction module 268。

Alternatively, the mode that the signal obtained after correction is carried out synthesis process by synthesis module 270 is:

Y=y_a+y_b+y_cor

Y=y_a*y_b*y_cor

Y=(y_a+y_b)*y_c。

Fig. 4 is the structured flowchart two of correction processing device according to embodiments of the present invention, as shown in Figure 4, adapts to device module 24 in real time and includes: the first demultiplexing module 242, for the multiplex signal of output after data prediction is demultiplexed；First error module 244, obtains control information for carrying out Error Calculation according to the signal after demultiplexing；First error correction module 246, obtains this update information for control information is modified process。

Fig. 5 is the structured flowchart three of correction processing device according to embodiments of the present invention, also includes as it is shown in figure 5, adapt to device module 24 in real time: the second demultiplexing module 248, the multiplex signal of output after data prediction is demultiplexed；Nonlinear filtering module 250, for carrying out nonlinear filtering process to the signal after demultiplexing；Second error module 252, the signal after processing according to nonlinear filtering carries out Error Calculation and obtains control information；Second error correction module 254, is modified process to control information and obtains update information。

Alternatively, the signal after demultiplexing is carried out nonlinear filtering process by nonlinear filtering module 250 in the following manner:

$f_a\left(n\right)=\left[1\right|u(n-k_1)|,...,{\left|u(n-k_1)\right|}^{K_1}|u(n-k_2)|,...,{\left|u(n-k_2)\right|}^{K_2},...]$

$f_b\left(n\right)=[\frac{\mathrm{\δ}{y}_b\left(n\right)}{\mathrm{\δ}{x}_b(n-k_1)},\frac{\mathrm{\δ}{y}_b\left(n\right)}{\mathrm{\δ}{x}_b(n-k_2)},...,\frac{\mathrm{\δ}{y}_b\left(n\right)}{\mathrm{\δ}{x}_b(n-k_b)}]$

Wherein, u is nonlinear filtering modules A and/or the input of nonlinear filtering module B；F_a、f_bOutput for nonlinear filtering modules A and/or nonlinear filtering module B；K₁、k₂For retardation；K₁、K₁For model order；δ () is for seeking derivative operation。

Fig. 6 is the structured flowchart four of correction processing device according to embodiments of the present invention, as shown in Figure 6, adapt to device module 24 in real time also include: select module 256, signal for processing according to the signal after demultiplexing or nonlinear filtering carries out Error Calculation and obtains multiple path errors information, carries out selection and obtain this control information from multiple path errors information。

Alternatively, pretreatment module 22 is additionally operable to: forward signal and feedback signal carry out the signal after at least one of following process is processed: delay compensation process, mirror image Filtering Processing, gain compensation process, frequency and phase compensation process, delay compensation value, filtering compensation value, gain compensation value and phase compensation value are carried out real-time tracking；Signal after this process is carried out multiplexing process output single channel preprocessed signal。

Alternatively, module 256 is selected to carry out Error Calculation in the following manner:

$\left\{\begin{array}{c}{e}_a\left(n\right)=x_d\left(n\right)-z_d\left(n\right)\\ e_b\left(n\right)=f_{\mathrm{xa}}\left(n\right)-f_{\mathrm{za}}\left(n\right)\\ e_c\left(n\right)=f_{\mathrm{xb}}\left(n\right)-f_{\mathrm{zb}}\left(n\right)\end{array}\right.$

Wherein, x_d(n) and z_dN () is pretreated forward direction and feedback signal；F_xa(n) and f_zaN () is the forward direction after nonlinear filtering A process and feedback signal；F_xb(n) and f_zbN () is the forward direction after nonlinear filtering B process and feedback signal。

Alternatively, corrector module 26 updates correction parameter according to update information in the following manner:

Wherein, μ, λ are regulatory factor；C is the output of error correction module；X (n) is input signal corresponding to correction parameter；()^HFor conjugate operation；H (n) is filter factor；E is the output of error module。

It should be noted that above-mentioned modules can be by software or what hardware realized, for the latter, it is possible to be accomplished by, but it is not limited to this: above-mentioned each module is respectively positioned in same processor；Or, above-mentioned each module lays respectively at first processor, the second processor and the 3rd processor ... in。

Below to be applied to being described in detail for example under global mobile communication (GlobalsystemforMobileCommunication, referred to as GSM) multicarrier system。

This alternative embodiment proposes predistortion correction method and the device of a kind of applicable nonlinear system distortion, adopts feedback control mechanism that correction of non-linear distortions parameter carries out real-time update, solves the frequency spectrum diffusion problem that the non-linear distortion of power amplifier is brought。It is implemented as follows:

A kind of digital pre-distortion bearing calibration and device, including:

Corrector module, watermark pre-processor and real-time adaptation device module。

Corrector module, for carrying out digital pre-calibration process to forward signal, to improve the distortion that signal is brought by nonlinear system module。

Corrector module farther includes: routing module, main correction module, auxiliary correction module, standby correction module and synthesis module。

Routing module, for carrying out route assignment process to forward signal, it is provided that to subsequent module。

Main correction module, for carrying out main correction process to the signal of route module assignment。

Auxiliary correction module, for carrying out auxiliary correction process to the information of route module assignment。

Standby correction module, for being updated processing to the parameter of main correction module and auxiliary correction module。

Synthesis module, for carrying out synthesis process to the output of main correction module, auxiliary correction module and standby correction module。

Watermark pre-processor, for carrying out numeral pretreatment to forward signal and feedback signal。

Watermark pre-processor farther includes: the tracking of time delay module, mirror module, gain module, phase module, multiplexing module, delay tracking, mirror image, gain tracking and phase tracking module。

Time delay module, the time-delay calibration for signal processes。

Mirror module, undesirable for Compensation Feedback link。

Gain module, for the gain process of feedback signal。

Phase module, for skew and the frequency deviation of calibration feedback signal。

Multiplexing module, for carrying out multiplexing process to multiple signals。

Delay tracking module, for the calculating of signal time delay in time delay module and renewal。

Mirror image tracking module, for the calculating of mirror image calibration value in mirror module and renewal。

Gain tracking module, for the calculating of yield value in gain module and renewal。

Phase tracking module, for the calculating of phase compensation value in phase module and renewal。

Adapt to device module in real time, be used for calculating update information the correction parameter of real-time update corrector。

Adapt to device module in real time farther include: demultiplexing module, nonlinear filtering modules A, nonlinear filtering module B, error module, selection module and error correction module。

Demultiplexing module, for demultiplexing the multiplex signal of watermark pre-processor output。

Nonlinear filtering modules A/B, for carrying out nonlinear filtering process to signal after demultiplexing。

Error module, carries out Error Calculation for the signal after processing according to signal after demultiplexing or nonlinear filtering。

Select module, for selecting different control information。

Error correction module, for being modified control information processing。

A kind of digital pre-distortion bearing calibration, comprises the following steps:

Step 1, parameter initialization；Initialize various parameter configuration and the thresholding etc. of correction system；

Step 2, real time data acquisition and verification；Real-time Collection forward direction and feedback signal, and the signal gathered is verified, if verification is not passed through, Resurvey data；

Step 3, pretreatment parameter is followed the tracks of；According to forward signal and feedback signal, calculate all pretreatment parameters, and according to the corresponding pretreatment parameter of data variation real-time update；

Step 4, data prediction；Forward signal and feedback signal are carried out data prediction；

Step 5, update information calculates；Pretreated data are carried out nonlinear filtering, Error Calculation and error correction, obtains update information；

Step 6, correction parameter updates。According to update information real-time update correction parameter；

Step 7, correction process；It is corrected forward signal processing, to offset the non-linear distortion that nonlinear system produces；

Step 8, pre-distortion parameters adapts in real time；Calibration result is monitored, repeats step 2～step 7 according to monitored results, complete the distortion correction of nonlinear system。

The predistortion correction method that this alternative embodiment proposes, adopts hardware to calculate parameters revision information in real time, and correction parameter is carried out real-time update。Compared with traditional pre-distortion technology, overcome correction parameter and can not quickly follow the tracks of the characteristic variations problem of nonlinear system, thus improve distortion correction speed and the performance of nonlinear system so that the present invention is more suitable for the occasion that system performance change is fast and linear index requirement is high。

Fig. 7 is digital pre-distortion correcting unit Organization Chart according to embodiments of the present invention, as it is shown in fig. 7, this device includes: corrector module, watermark pre-processor and real-time adaptation device module。

The process that realizes of a kind of digital pre-distortion bearing calibration of this alternative embodiment is:

The corrector module envelope information according to forward signal, is corrected forward signal processing, and the correction signal obtained exports to follow-up system。Preprocessor obtains preprocessed signal after forward signal and feedback signal carry out the process such as time delay, gain, frequency and phase place。Adapt to device in real time and preprocessed signal is carried out nonlinear filtering process, Error Calculation and error correction process, obtain the parameters revision information relevant to calibration result, utilize update information that correction parameter is revised in real time, thus completing the rapid feedback correction of nonlinear system distortion。

Fig. 8 is the basic block diagram of corrector according to embodiments of the present invention, as shown in Figure 8, including routing module, main correction module, auxiliary correction module, standby correction module and synthesis module。

Routing module, is allocated forward signal, gives main correction module, auxiliary correction module and standby correction module respectively。

Forward signal is corrected processing by main correction module, auxiliary correction module and standby correction module according to the envelope information of forward signal, and its processing mode is:

y_a(n)=P_a(x_a(n-k₁) ..., x_a(n-k_a), I_b(n-l_b) ..., I_c(n-l_c))(1)

y_b(n)=P_b(x_b(n-k₁) ..., x_b(n-k_b), I_a(n-l_a) ..., I_c(n-l_c))(2)

y_c(n)=P_c(x_c(n-k₁) ..., x_c(n-k_c), I_a(n-l_a) ..., I_b(n-l_b))(3)

Wherein, x_a、x_bAnd x_cRespectively routing module distributes to the forward signal component of main correction channel, auxiliary correction channel and standby correction channel distribution；N is signal sampling sequence number；K_a、k_bAnd k_cAnd l_a、l_bAnd l_cRespectively signal delay amount；Y_a、y_bAnd y_cAnd I_a、I_bAnd I_cThe respectively output signal of main correction channel, auxiliary correction channel and standby correction channel；P_a(·)、P_b() and P_cThe calibration model of () respectively main correction channel, auxiliary correction channel and standby correction channel, calibration model can adopt organizes lower order filter, Volterra progression, memory polynomial, neutral net (such as BP network, ART network or SOM network etc.), wavelet network and support vector basis etc. more, and the calibration model of the present invention is not limited to above-mentioned model。

Synthesis module, carries out different synthesis according to control signal to the output of main correction module, auxiliary correction module and standby correction module and processes, and the processing mode of this alternative embodiment includes but not limited to following manner:

Y=y_a+y_b+y_cor(4)

Y=y_a*y_b*y_cor(5)

Y=(y_a+y_b)*y_c(6)

Fig. 9 is the basic block diagram of preprocessor according to embodiments of the present invention, as it is shown in figure 9, include time delay module, mirror module, gain module, phase module, multiplexing module, delay tracking, mirror image tracking, gain tracking and phase tracking module。All modules in Fig. 9 programmable gate array all at the scene (FieldProgramableGateArray, referred to as FPGA) realize, it is possible to use the processing capability in real time of FPGA, processing speed is consistent with hardware。

Forward signal, pre-correction signal and feedback signal have following relational expression:

Forward signal and feedback signal, according to formula (7) and formula (8), are carried out data prediction so that forward signal is corresponding with feedback signal by watermark pre-processor。

Time delay module, carries out delay compensation process to forward signal and feedback signal。

Mirror module, carries out mirror image Filtering Processing to forward signal and feedback signal。

Gain module, carries out gain compensation process to forward direction and feedback signal。

Phase module, carries out frequency to forward direction and feedback signal and phase compensation processes。

Pretreated multiple signals are carried out multiplexing process by multiplexing module, export single channel preprocessed signal, comprise feedback signal after pretreated forward signal and pretreatment。

Delay tracking module, mirror image tracking module, gain tracking module and phase tracking module, carry out real-time tracking to delay compensation value, filtering compensation value, gain compensation value and phase compensation value。

Figure 10 is the basic block diagram adapting to device in real time according to embodiments of the present invention, as shown in Figure 10, including demultiplexing module, nonlinear filtering modules A, nonlinear filtering module B, error module, selection module and error correction module。

Demultiplexing module, carries out different demultiplexing process to the multiplex signal of watermark pre-processor, gives subsequent module respectively。

Nonlinear filtering modules A/B, carries out corresponding nonlinear filtering process to demultiplexed signal, and the Nonlinear Processing mode of the present invention includes but not limited to following manner:

$f_a\left(n\right)=\left[1\right|u(n-k_1)|,...,{\left|u(n-k_1)\right|}^{K_1}|u(n-k_2)|,...,{\left|u(n-k_2)\right|}^{K_2},...]---\left(9\right)$

$f_b\left(n\right)=[\frac{\mathrm{\δ}{y}_b\left(n\right)}{\mathrm{\δ}{x}_b(n-k_1)},\frac{\mathrm{\δ}{y}_b\left(n\right)}{\mathrm{\δ}{x}_b(n-k_2)},...,\frac{\mathrm{\δ}{y}_b\left(n\right)}{\mathrm{\δ}{x}_b(n-k_b)}]---\left(10\right)$

Wherein, u is the input of nonlinear filtering module；F_a、f_bOutput for nonlinear filtering module；K₁、k₂For retardation；K₁、K₁For model order；δ () is for seeking derivative operation。

Error module, carries out Error Calculation to the output of demultiplexed signal and nonlinear filtering modules A/B。

Error Calculation mode is as follows:

$\left\{\begin{array}{c}{e}_a\left(n\right)=x_d\left(n\right)-z_d\left(n\right)\\ e_b\left(n\right)=f_{\mathrm{xa}}\left(n\right)-f_{\mathrm{za}}\left(n\right)\\ e_c\left(n\right)=f_{\mathrm{xb}}\left(n\right)-f_{\mathrm{zb}}\left(n\right)\end{array}\right.---\left(11\right)$

Wherein, x_d(n) and z_dN () is pretreated forward direction and feedback signal；F_xa(n) and f_zaN () is the forward direction after nonlinear filtering A process and feedback signal；F_xb(n) and f_zbN () is the forward direction after nonlinear filtering B process and feedback signal。

Select module, select in three control information branch roads。

Error correction module, carries out error correction process to the output of error module, and revised control information can be used to the correction parameter in real-time update corrector module。The input of error correction module is the control information selecting module output, is output as the control information being modified processing, and these control informations are relevant to the calibration result of corrector。

The error correction of this alternative embodiment includes but not limited to following manner:

C (n)=μ (n) x (n) e^H(n)(12)

$\left\{\begin{array}{c}c\left(n\right)=\mathrm{\μ}\left(n\right)\mathrm{\μ}\left(n\right)e_f\left(n\right)\\ e_f\left(n\right)={\mathrm{\Σ}}_{i=0}^{N}h(N-i)e^H(n-i)\end{array}\right.---\left(13\right)$

$\left\{\begin{array}{c}c\left(n\right)=\mathrm{\μ}\left(n\right)R\left(n\right)e_R\left(n\right)\\ R\left(n\right)=\begin{array}{}\end{array}\left[\begin{array}{cccc}x\left(n\right)& x(n-1)& ...& x(n-N)\\ x(n+1)& x\left(n\right)& ...& x(n+1-N)\\ & & ...& \\ x(n+L)& x(n+L-1)& ...& x(n+L-N)\end{array}\right]\\ e_R=\left[\begin{array}{c}e\left(n\right)\\ e(n+1)\\ ...\\ e(n+L)\end{array}\right]\end{array}\right.---\left(14\right)$

$\left\{\begin{array}{c}c\left(n\right)=\mathrm{\μ}\left(n\right)K\left(n\right)e^H\left(n\right)\\ K\left(n\right)=\frac{{\mathrm{\λ}}^{-1}Q(n-1)x\left(n\right)}{1+{\mathrm{\λ}}^{-1}{x}^H\left(n\right)Q(n-1)x\left(n\right)}\\ Q\left(n\right)={\mathrm{\λ}}^{-1}Q(n-1)-{\mathrm{\λ}}^{-1}K\left(n\right)x^H\left(n\right)Q(n-1)\end{array}\right.---\left(15\right)$

Wherein, μ, λ are regulatory factor；C is the output of error correction module；X (n) is input signal corresponding to correction parameter；()^HFor conjugate operation；H (n) is filter factor；E is the output of error module。

Above-mentioned adapt to device in real time realize step:

Step 1, signal after demultiplexing pretreatment。

Step 2, carries out nonlinear filtering process according to formula (9) and (10) to demultiplexed signal。

Step 3, calculates control information according to formula (11)。

Step 4, is modified control information according to formula (12), (13), (14) or (15)。

Step 5, uses revised control information that correction parameter is updated。

Step 6, repeats step 1～step 5, it is achieved the feedback adaptation of correction parameter processes。

Figure 11 is digital pre-distortion bearing calibration flow chart according to embodiments of the present invention, and as shown in figure 11, this flow process mainly comprises the steps that

Step S1102, parameter initialization；Initialize various parameter configuration and the thresholding etc. of correction system；

Step S1104, real time data acquisition and verification, Real-time Collection forward direction and feedback signal；

Step S1106, and the signal gathered is verified, if verification is not passed through, perform step S1104, if verification is passed through, perform step S1108；

Step S1108, pretreatment parameter is followed the tracks of；According to forward signal and feedback signal, calculate all pretreatment parameters, and according to the corresponding pretreatment parameter of data variation real-time update；

Step S1110, it is judged that whether parameter verifies, when being judged as NO, performs step S1108, when being judged as YES, performs step S1112；

Step S1112, data prediction；Forward signal and feedback signal are carried out data prediction；

Step S1114, it is judged that whether preprocessed signal is by verifying, when judging whether, performs step S1112, when being judged as YES, performs step S1116；

Step S1116, update information calculates；Pretreated data are carried out nonlinear filtering, Error Calculation and error correction, obtains update information；

Step S1118, correction parameter updates。According to update information real-time update correction parameter。

Step S1120, correction process；It is corrected forward signal processing, to offset the non-linear distortion that nonlinear system produces；

Step S1122, pre-distortion parameters adapts in real time；Calibration result is monitored, repeats step S1104～step S1120 according to monitored results, complete the distortion correction of nonlinear system。

Figure 12 is digital pre-distortion correcting unit structure chart according to embodiments of the present invention, as shown in figure 12, this device specifically includes that baseband signal module, Rate Matching block, corrector module, DAC module, ADC, up-converter module, down conversion module, LO module, power amplifier module, Coupler Module, attenuator module, watermark pre-processor, in real time adaptation device module。This alternative embodiment carries out Fast Correction for the non-linear distortion of power amplifier。Wherein, baseband signal module is used for producing downstream signal；Rate Matching block is used for interpolation and the Filtering Processing of baseband signal；DAC/ADC module is used for digital-to-analogue/analog digital conversion；Up-converter module modulates radio frequency for DAC is exported signal；LO module is used for producing sinusoidal and cosine local oscillation signal；Power amplifier module is for carrying out power amplifier amplification to radiofrequency signal；Coupler Module is for being sampled signal；Attenuator module is for decaying to the power amplifier output signal of bonder coupling；Down conversion module is for being transferred to low frequency point attenuator output signal solution。

The main of above-mentioned power amplifier non-linear Fast Correction specific embodiment realizes step:

Step 1, power amplifier sample of signal；Gather power amplifier output analogue signal；

Step 2, analog digital conversion；Analogue signal is converted to digital signal；

Step 3, data prediction；Forward signal and feedback signal are carried out data prediction；

Step 4, update information calculates；Pretreated data are carried out nonlinear filtering, Error Calculation, obtains update information；

Step 5, correction parameter updates；Utilize update information that the correction parameter in corrector is carried out real-time update；

Step 6, signal precorrection；The output signal of Rate Matching block is carried out precorrection process。

Figure 13 is the non-linear method for quickly correcting schematic diagram of power amplifier according to embodiments of the present invention, as shown in figure 13, baseband signal is through Rate Matching block, realize pulse shaping and speed conversion, the corrected process of forward signal obtained produces pre-correction signal, completes the digital signal conversion to analogue signal then through digital-to-analogue conversion。Meanwhile, the output sampled signal of power amplifier obtains feedback digital signal through analog-to-digital conversion module。After forward signal and feedback digital signal are carried out Signal Pretreatment, calculate parameters revision information real-time update correction parameter, complete the Fast Correction of the distortion that power amplifier produces。

Here already by specific embodiment, alternative embodiment of the present invention has been described in detail, thering is provided the description of above-described embodiment in order to make those skilled in the art manufacture or use the present invention, the various amendments of these embodiments will be appreciated that for a person skilled in the art。The invention is not restricted to only GSM multi-carrier signal is corrected, for GSM, CDMA accesses (WidebandCodeDivisionMultipleAccess, referred to as CDMA), UMTS (UniversalMobileTelecommunicationsSystem, referred to as UMTS), Time division multiple access (TimeDivision-SynchronousCodeDivisionMultipleAccess, referred to as TD-SCDMA), Long Term Evolution (Long-TermEvolution, referred to as LTE), micro-wave access to global intercommunication (WorldwideInteroperabilityforMicrowaveAccess, referred to as Wimax) and various mixed-mode signal, its correction rate and calibration result are better than traditional pre-distortion technology。Alternative embodiment of the present invention is applicable to GSM, CDMA, UMTS, TD-SCDMA, LTE and WiMAX single mode or multimode system。

In sum, alternative embodiment of the present invention proposes a kind of digital pre-distortion bearing calibration and device, it directly adopts the hardware calculating update information relevant to predistortion effect that pre-distortion parameters is carried out real-time update, utilize the quick computing capability of hardware, it is possible to improve correction rate and the correction performance of nonlinear system distortion。

In another embodiment, additionally providing a kind of software, this software is for performing the technical scheme described in above-described embodiment and preferred implementation。

In another embodiment, additionally providing a kind of storage medium, in this storage medium, storage has above-mentioned software, and this storage medium includes but not limited to: CD, floppy disk, hard disk, scratch pad memory etc.。

Obviously, those skilled in the art should be understood that, each module of the above-mentioned present invention or each step can realize with general calculation element, they can concentrate on single calculation element, or it is distributed on the network that multiple calculation element forms, alternatively, they can realize with the executable program code of calculation element, thus, can be stored in storage device is performed by calculation element, and in some cases, shown or described step can be performed with the order being different from herein, or they are fabricated to respectively each integrated circuit modules, or the multiple modules in them or step are fabricated to single integrated circuit module realize。So, the present invention is not restricted to the combination of any specific hardware and software。

The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations。All within the spirit and principles in the present invention, any amendment of making, equivalent replacement, improvement etc., should be included within protection scope of the present invention。

Claims (22)

1. a correction processing method, it is characterised in that including:

To collecting forward signal and feedback signal carries out data prediction, wherein, described feedback signal be described forward signal corrected after the signal that obtains；

Obtain update information according to the signal after data prediction, and update correction parameter according to described update information；

Use the correction parameter after updating that described forward signal is corrected。

2. method according to claim 1, it is characterised in that use the correction parameter after updating to be corrected including to described forward signal:

Described forward signal being distributed to correction module be corrected, wherein, described correction module includes at least one of: one or more main correction modules, one or more auxiliary correction module, one or more standby correction module；

The signal obtained after correction is carried out synthesis process。

3. method according to claim 2, it is characterised in that described forward signal is distributed to correction module and is corrected including afterwards:

Described forward signal is corrected processing by described main correction module, described auxiliary correction module and described standby correction module according to the envelope information of described forward signal, and its processing mode is:

y_a(n)=P_a(x_a(n-k₁) ..., x_a(n-k_a), I_b(n-l_b) ..., I_c(n-l_c))

y_b(n)=P_b(x_b(n-k₁) ..., x_b(n-k_b), I_a(n-l_a) ..., I_c(n-l_c))

y_c(n)=P_c(x_c(n-k₁) ..., x_c(n-k_c), I_a(n-l_a) ..., I_b(n-l_b))

Wherein, x_a、x_bAnd x_cRespectively distribute to the forward signal component of described main correction module, described auxiliary correction module and described standby correction module distribution；N is signal sampling sequence number；K_a、k_bAnd k_cAnd l_a、l_bAnd l_cRespectively signal delay amount；Y_a、y_bAnd y_cAnd I_a、I_bAnd I_cThe respectively output signal of described main correction module, described auxiliary correction module and described standby correction module；P_a(·)、P_b() and P_cThe calibration model of () respectively described main correction module, described auxiliary correction module and described standby correction module。

4. method according to claim 3, it is characterised in that the signal after correction is obtained carries out synthesis process and includes:

Y=y_a+y_b+y_cor

Y=y_ay_by_cor

Y=(y_a+y_b)y_c。

5. method according to claim 1, it is characterised in that obtain update information according to the signal after carrying out data prediction and include:

The multiplex signal of output after data prediction is demultiplexed；

Carry out Error Calculation according to the signal after demultiplexing and obtain control information；

Described control information is modified process and obtains described update information。

6. method according to claim 1, it is characterised in that obtain update information according to the signal after carrying out data prediction and include:

The multiplex signal of output after data prediction is demultiplexed；

Signal after demultiplexing is carried out nonlinear filtering process；

Signal after processing according to nonlinear filtering carries out Error Calculation and obtains control information；

Described control information is modified process and obtains described update information。

7. method according to claim 6, it is characterised in that the signal after demultiplexing is carried out nonlinear filtering process and includes:

$f_a\left(n\right)=\left[1\right|u(n-k_1)|,...,{\left|u(n-k_1)\right|}^{K_1}|u(n-k_2)|,...,{\left|u(n-k_2)\right|}^{K_2},...]$

$f_b\left(n\right)=[\frac{{\mathrm{\δy}}_b\left(n\right)}{{\mathrm{\δx}}_b(n-k_1)},\frac{{\mathrm{\δy}}_b\left(n\right)}{{\mathrm{\δx}}_b(n-k_2)},...,\frac{{\mathrm{\δy}}_b\left(n\right)}{\mathrm{\δ}{x}_b(n-k_b)}]$

Wherein, u is described nonlinear filtering modules A and/or the input of described nonlinear filtering module B；F_a、f_bOutput for described nonlinear filtering modules A and/or described nonlinear filtering module B；K₁、k₂For retardation；K₁、K₁For model order；δ () is for seeking derivative operation。

8. the method according to claim 5 or 6, it is characterised in that the signal processed according to the signal after demultiplexing or nonlinear filtering carries out Error Calculation and obtains control information and include:

Signal according to the signal after demultiplexing or nonlinear filtering process carries out Error Calculation and obtains multiple path errors information；

From described multiple path errors information, carry out selection obtain described control information。

9. method according to claim 1, it is characterised in that to collecting forward signal and feedback signal carries out data prediction and includes:

Described forward signal and described feedback signal are carried out the signal after at least one of following process is processed:

Delay compensation process, the process of mirror image Filtering Processing, gain compensation, frequency and phase compensation process, delay compensation value, filtering compensation value, gain compensation value and phase compensation value are carried out real-time tracking；

Signal after described process is carried out multiplexing process output single channel preprocessed signal。

10. method according to claim 8, it is characterised in that the signal processed according to the signal after demultiplexing or nonlinear filtering carries out Error Calculation and obtains the error calculation method of multiple path errors information and include:

$\left\{\begin{array}{c}{e}_a\left(n\right)=x_d\left(n\right)-z_d\left(n\right)\\ e_b\left(n\right)=f_{\mathrm{xa}}\left(n\right)-f_{\mathrm{za}}\left(n\right)\\ e_c\left(n\right)=f_{\mathrm{xb}}\left(n\right)-f_{\mathrm{zb}}\left(n\right)\end{array}\right.$

Wherein, x_d(n) and z_dN () is pretreated forward direction and feedback signal；F_xa(n) and f_zaN () is the forward direction after described nonlinear filtering A process and feedback signal；F_xb(n) and f_zbN () is the forward direction after described nonlinear filtering B process and feedback signal。

11. method according to claim 1, it is characterised in that update correction parameter according to described update information and include:

C (n)=μ (n) x (n) e^H(n)

$\left\{\begin{array}{c}c\left(n\right)=\mathrm{\μ}\left(n\right)x\left(n\right)e_f\left(n\right)\\ e_f\left(n\right)=\underset{i=0}{\overset{N}{\mathrm{\Σ}}}h(N-i)e^H(n-i)\end{array}\right.$

$\left\{\begin{array}{c}c\left(n\right)=\mathrm{\μ}\left(n\right)R\left(n\right)e_R\left(n\right)\\ R\left(n\right)=\left[\begin{array}{c}x\left(n\right)x(n-1)...x(n-N)\\ x(n+1)x\left(n\right)...x(n+1-N)\\ ...\\ x(n+L)x(n+L-1)...X(n+L-N)\end{array}\right]\\ e_R=\begin{array}{}\left[\begin{array}{c}e\left(n\right)\\ e(n+1)\\ ...\\ e(n+L)\end{array}\right]\end{array}\end{array}\right.$

$\left\{\begin{array}{c}c\left(n\right)=\mathrm{\μ}\left(n\right)K\left(n\right)e^H\left(n\right)\\ K\left(n\right)=\frac{{\mathrm{\λ}}^{-1}Q(n-1)x\left(n\right)}{1+{\mathrm{\λ}}^{-1}{x}^H\left(n\right)Q(n-1)x\left(n\right)}\\ Q\left(n\right)={\mathrm{\λ}}^{-1}Q(n-1)-{\mathrm{\λ}}^{-1}K\left(n\right)x^H\left(n\right)Q(n-1)\end{array}\right.$

Wherein, μ, λ are regulatory factor；C is the output of error correction module；X (n) is input signal corresponding to correction parameter；()^HFor conjugate operation；H (n) is filter factor；E is the output of error module。

12. a correction processing device, it is characterised in that described device includes:

Pretreatment module, for collecting forward signal and feedback signal carries out data prediction, wherein, described feedback signal be described forward signal corrected after the signal that obtains；

Adapt to device module in real time, for obtaining update information according to the signal after data prediction, and update correction parameter according to described update information；

Corrector module, is corrected described forward signal for the correction parameter after using renewal。

13. device according to claim 12, it is characterized in that, described corrector module includes: routing module, main correction module, auxiliary correction module and standby correction module, wherein, routing module, for described forward signal is distributed to one or the plurality of main correction module, one or more described auxiliary correction module, one or more described standby correction module are corrected；Synthesis module, for carrying out synthesis process to the signal obtained after correction。

14. device according to claim 13, it is characterised in that including:

Described forward signal is corrected processing by described main correction module, described auxiliary correction module and described standby correction module according to the envelope information of described forward signal, and its processing mode is:

y_a(n)=P_a(x_a(n-k₁) ..., x_a(n-k_a), I_b(n-l_b) ..., I_c(n-l_c))

y_b(n)=P_b(x_b(n-k₁) ..., x_b(n-k_b), I_a(n-l_a) ..., I_c(n-l_c))

y_c(n)=P_c(x_c(n-k₁) ..., x_c(n-k_c), I_a(n-l_a) ..., I_b(n-l_b))

Wherein, x_a、x_bAnd x_cRespectively distribute to the forward signal component of described main correction module, described auxiliary correction module and described standby correction module distribution；N is signal sampling sequence number；K_a、k_bAnd k_cAnd l_a、l_bAnd l_cRespectively signal delay amount；Y_a、y_bAnd y_cAnd I_a、I_bAnd I_cThe respectively output signal of described main correction module, described auxiliary correction module and described standby correction module；P_a(·)、P_b() and P_cThe calibration model of () respectively described main correction module, described auxiliary correction module and described standby correction module。

15. device according to claim 14, it is characterised in that the mode that the signal obtained after correction is carried out synthesis process by described synthesis module is:

Y=y_a+y_b+y_cor

Y=y_ay_by_cor

Y=(y_a+y_b)y_c。

16. device according to claim 12, it is characterised in that described real-time adaptation device module includes:

First demultiplexing module, for demultiplexing the multiplex signal of output after data prediction；

First error module, obtains control information for carrying out Error Calculation according to the signal after demultiplexing；

First error correction module, obtains described update information for described control information is modified process。

17. device according to claim 12, it is characterised in that described real-time adaptation device module also includes:

Second demultiplexing module, demultiplexes the multiplex signal of output after data prediction；

Nonlinear filtering module, for carrying out nonlinear filtering process to the signal after demultiplexing；

Second error module, the signal after processing according to nonlinear filtering carries out Error Calculation and obtains control information；

Second error correction module, is modified process to described control information and obtains described update information。

18. device according to claim 16, it is characterised in that the signal after demultiplexing is carried out nonlinear filtering process by described nonlinear filtering module in the following manner:

$f_a\left(n\right)=\left[1\right|u(n-k_1)|,...,{\left|u(n-k_1)\right|}^{K_1}|u(n-k_2)|,...,{\left|u(n-k_2)\right|}^{K_2},...]$

$f_b\left(n\right)=[\frac{{\mathrm{\δy}}_b\left(n\right)}{{\mathrm{\δx}}_b(n-k_1)},\frac{{\mathrm{\δy}}_b\left(n\right)}{{\mathrm{\δx}}_b(n-k_2)},...,\frac{{\mathrm{\δy}}_b\left(n\right)}{\mathrm{\δ}{x}_b(n-k_b)}]$

Wherein, u is described nonlinear filtering modules A and/or the input of described nonlinear filtering module B；F_a、f_bOutput for described nonlinear filtering modules A and/or described nonlinear filtering module B；K₁、k₂For retardation；K₁、K₁For model order；δ () is for seeking derivative operation。

19. the device according to claim 16 or 17, it is characterised in that described real-time adaptation device module also includes:

Selecting module, the signal for processing according to the signal after demultiplexing or nonlinear filtering carries out Error Calculation and obtains multiple path errors information, carries out selection and obtain described control information from described multiple path errors information。

20. device according to claim 12, it is characterised in that described pretreatment module is additionally operable to:

Described forward signal and described feedback signal are carried out the signal after at least one of following process is processed:

Delay compensation process, the process of mirror image Filtering Processing, gain compensation, frequency and phase compensation process, delay compensation value, filtering compensation value, gain compensation value and phase compensation value are carried out real-time tracking；

Signal after described process is carried out multiplexing process output single channel preprocessed signal。

21. device according to claim 19, it is characterised in that described selection module carries out Error Calculation in the following manner:

$\left\{\begin{array}{c}{e}_a\left(n\right)=x_d\left(n\right)-z_d\left(n\right)\\ e_b\left(n\right)=f_{\mathrm{xa}}\left(n\right)-f_{\mathrm{za}}\left(n\right)\\ e_c\left(n\right)=f_{\mathrm{xb}}\left(n\right)-f_{\mathrm{zb}}\left(n\right)\end{array}\right.$

Wherein, x_d(n) and z_dN () is pretreated forward direction and feedback signal；F_xa(n) and f_zaN () is the forward direction after described nonlinear filtering A process and feedback signal；F_xb(n) and f_zbN () is the forward direction after described nonlinear filtering B process and feedback signal。

22. device according to claim 12, it is characterised in that described corrector module updates correction parameter according to described update information in the following manner:

C (n)=μ (n) x (n) e^H(n)

$\left\{\begin{array}{c}c\left(n\right)=\mathrm{\μ}\left(n\right)x\left(n\right)e_f\left(n\right)\\ e_f\left(n\right)=\underset{i=0}{\overset{N}{\mathrm{\Σ}}}h(N-i)e^H(n-i)\end{array}\right.$

$\left\{\begin{array}{c}c\left(n\right)=\mathrm{\μ}\left(n\right)R\left(n\right)e_R\left(n\right)\\ R\left(n\right)=\left[\begin{array}{c}x\left(n\right)x(n-1)...x(n-N)\\ x(n+1)x\left(n\right)...x(n+1-N)\\ ...\\ x(n+L)x(n+L-1)...X(n+L-N)\end{array}\right]\\ e_R=\begin{array}{}\left[\begin{array}{c}e\left(n\right)\\ e(n+1)\\ ...\\ e(n+L)\end{array}\right]\end{array}\end{array}\right.$

$\left\{\begin{array}{c}c\left(n\right)=\mathrm{\μ}\left(n\right)K\left(n\right)e^H\left(n\right)\\ K\left(n\right)=\frac{{\mathrm{\λ}}^{-1}Q(n-1)x\left(n\right)}{1+{\mathrm{\λ}}^{-1}{x}^H\left(n\right)Q(n-1)x\left(n\right)}\\ Q\left(n\right)={\mathrm{\λ}}^{-1}Q(n-1)-{\mathrm{\λ}}^{-1}K\left(n\right)x^H\left(n\right)Q(n-1)\end{array}\right.$

Wherein, μ, λ are regulatory factor；C is the output of error correction module；X (n) is input signal corresponding to correction parameter；()^HFor conjugate operation；H (n) is filter factor；E is the output of error module。