WO2018176436A1 - 一种预失真方法、装置和系统 - Google Patents

一种预失真方法、装置和系统 Download PDF

Info

Publication number
WO2018176436A1
WO2018176436A1 PCT/CN2017/079197 CN2017079197W WO2018176436A1 WO 2018176436 A1 WO2018176436 A1 WO 2018176436A1 CN 2017079197 W CN2017079197 W CN 2017079197W WO 2018176436 A1 WO2018176436 A1 WO 2018176436A1
Authority
WO
WIPO (PCT)
Prior art keywords
sequence
data
sampling
nyquist interval
nyquist
Prior art date
Application number
PCT/CN2017/079197
Other languages
English (en)
French (fr)
Inventor
司小书
米哈伊尔林尼克
杜凡平
Original Assignee
华为技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Priority to PCT/CN2017/079197 priority Critical patent/WO2018176436A1/zh
Publication of WO2018176436A1 publication Critical patent/WO2018176436A1/zh
Priority to US16/582,954 priority patent/US20200021478A1/en

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/02—Transmitters
    • H04B1/04—Circuits
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/32—Carrier systems characterised by combinations of two or more of the types covered by groups H04L27/02, H04L27/10, H04L27/18 or H04L27/26
    • H04L27/34—Amplitude- and phase-modulated carrier systems, e.g. quadrature-amplitude modulated carrier systems
    • H04L27/36—Modulator circuits; Transmitter circuits
    • H04L27/366—Arrangements for compensating undesirable properties of the transmission path between the modulator and the demodulator
    • H04L27/367—Arrangements for compensating undesirable properties of the transmission path between the modulator and the demodulator using predistortion
    • H—ELECTRICITY
    • H03—ELECTRONIC CIRCUITRY
    • H03F—AMPLIFIERS
    • H03F1/00—Details of amplifiers with only discharge tubes, only semiconductor devices or only unspecified devices as amplifying elements
    • H03F1/32—Modifications of amplifiers to reduce non-linear distortion
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/02—Transmitters
    • H04B1/04—Circuits
    • H04B1/0475—Circuits with means for limiting noise, interference or distortion
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/02—Transmitters
    • H04B1/04—Circuits
    • H04B2001/0408—Circuits with power amplifiers
    • H04B2001/0425—Circuits with power amplifiers with linearisation using predistortion
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/02—Transmitters
    • H04B1/04—Circuits
    • H04B2001/0408—Circuits with power amplifiers
    • H04B2001/0433—Circuits with power amplifiers with linearisation using feedback

Definitions

  • Embodiments of the present application relate to the field of communications, and, more particularly, to a predistortion method, apparatus, and system.
  • the communication industry has always been regarded as one of the pillar industries of national production, and various products related to communication are closely related to people's production and life.
  • the transmitter is one of the most important components to modulate, upconvert, and ultimately amplify the baseband signal.
  • the power amplifier is the most important component in the transmitter, and its performance will directly affect the performance of the transmitter and the entire base station.
  • Down-sampling rate DPD technology compensates for nonlinear distortion.
  • the principle is that the digital-to-analog converter (DAC) outputs an analog baseband signal, which is up-converted to output an RF signal and then passed through a power amplifier.
  • the feedback link signal is first subjected to down-conversion output baseband analog signal, and then the down-sampling rate analog-to-digital converter (ADC) samples the signal, and then calculates the DPD coefficient according to the acquired signal and the occurrence of the reference signal.
  • ADC analog-to-digital converter
  • the embodiment of the present application provides a method, device and system for predistortion, which can effectively estimate and compensate linear distortion, and helps to avoid influence on estimation and compensation of subsequent nonlinear distortion.
  • a predistortion method comprising: transmitting a first sequence and saving the first sequence of the transmission; receiving a second sequence of feedback, the second sequence is performing distortion sampling on the first sequence Subsequent sequence; after sampling the saved first sequence, obtaining a third sequence, wherein the sampling rate obtained by sampling to obtain the third sequence is the same as the sampling rate obtained by sampling to obtain the second sequence; according to the second sequence and the a third sequence determining a linear distortion coefficient corresponding to each Nyquist interval in at least one Nyquist interval in a spectrum of the transmitted signal; wherein the linearity The distortion factor is used to linearly compensate the transmitted signal.
  • the first sequence includes a first data sequence and a first preamble sequence set, where a spectrum of one preamble sequence corresponds to a spectrum of one preamble sequence a second sequence comprising a second data sequence corresponding to the first data sequence and a received sequence set corresponding to the first preamble sequence, wherein the stored first sequence is sampled,
  • Obtaining the third sequence comprising: after sampling the first preamble sequence set of the first sequence, obtaining a second preamble sequence set of the third sequence, obtaining a sampling rate of the second preamble sequence set and sampling to obtain the receiving The sampling rate of the sequence set is the same; wherein, according to the second sequence and the third sequence, determining a linear distortion coefficient corresponding to each Nyquist interval in at least one Nyquist interval in the spectrum of the transmitted signal, including: Determining, according to the received sequence set and the second preamble sequence set, a linear loss corresponding to each Nyquist interval in
  • determining, according to the received sequence set and the second preamble sequence set, a linear distortion coefficient corresponding to each Nyquist interval in at least one Nyquist interval in a spectrum of the transmitted signal includes: determining, by using a least square method, a linear distortion coefficient corresponding to each Nyquist interval in at least one Nyquist interval in a spectrum of the transmitted signal according to the received sequence set and the second preamble sequence set.
  • the predistortion method of the embodiment of the present application can accurately estimate the linear distortion coefficient of each Nyquist interval in the spectrum of the transmitted signal by the design of the preamble sequence, effectively for each Nyquist interval of the transmitted signal.
  • the data is linearly compensated.
  • the first sequence includes a first data sequence, where the second sequence includes a second data sequence corresponding to the first data sequence, where After sampling the saved first sequence, obtaining a third sequence, comprising: extracting data of each Nyquist interval in the at least one Nyquist interval in the first data sequence; the at least one Nyquist After sampling the data of each Nyquist interval in the interval, the reference sequence set is obtained, and the sampling rate obtained by sampling to obtain the reference sequence set is the same as the sampling rate obtained by sampling to obtain the second data sequence; wherein, according to the second a sequence and the third sequence, determining a linear distortion coefficient corresponding to each Nyquist interval in at least one Nyquist interval in a spectrum of the transmitted signal, comprising: determining the basis according to the second data sequence and the reference sequence set A linear distortion coefficient corresponding to each Nyquist interval in at least one Nyquist interval in the spectrum of the transmitted signal.
  • determining, according to the reference sequence set and the second data sequence, a linear distortion coefficient corresponding to each Nyquist interval in at least one Nyquist interval in a spectrum of the transmitted signal including And determining, by using a least square method, a linear distortion coefficient corresponding to each Nyquist interval in at least one Nyquist interval in a spectrum of the transmitted signal according to the reference sequence set and the second data sequence.
  • the predistortion method of the embodiment of the present application can estimate the linear distortion coefficient of each Nyquist interval in the spectrum of the transmitted signal, and realize linear compensation for the data of each Nyquist interval of the transmitted signal.
  • the linear distortion coefficient is used for linearly compensating the transmitted signal, including: linearizing the reference sequence set make up.
  • the method further includes: extracting each of the at least one Nyquist interval in the first data sequence Data of the Nyquist interval; after sampling the data of each Nyquist interval in the at least one Nyquist interval, obtaining a reference sequence set, obtaining the reference sequence set and sampling to obtain the second data sequence
  • the sampling rate is the same; wherein the linear distortion coefficient is used for linearly compensating the transmitted signal, including: linearly compensating the reference sequence set.
  • the method further includes: determining, according to the linear distortion coefficient corresponding to each Nyquist interval in the at least one Nyquist interval, the first reference data set The first reference data set is used to determine a nonlinear distortion coefficient of the transmitted signal.
  • determining the first reference data set according to the linear distortion coefficient corresponding to each Nyquist interval in the at least one Nyquist interval and including: the reference sequence The set convolves with a linear distortion coefficient corresponding to each Nyquist interval in the at least one Nyquist interval to obtain a first reference data set.
  • the method further includes: determining, according to the first reference data set and the second data sequence, the sending signal a nonlinear distortion coefficient; the transmission signal is nonlinearly compensated according to the nonlinear distortion coefficient.
  • the determining, according to the first reference data set and the second data sequence, determining a nonlinear distortion of the sent signal The coefficient includes: adding each reference data in the first reference data set to obtain second reference data; and determining a nonlinear distortion coefficient of the transmitted signal according to the second reference data and the second data sequence.
  • the predistortion method of the embodiment of the present application can effectively estimate and compensate linear distortion of each Nyquist interval in at least one Nyquist interval in the transmitted signal, thereby effectively estimating and compensating for nonlinearity of the transmitted signal. distortion.
  • a predistortion apparatus comprising: a transceiver for transmitting a first sequence and storing the first sequence of the transmission; the transceiver further configured to receive a second sequence of feedback, the The second sequence is a sequence obtained by performing distortion sampling on the first sequence, and the processor is configured to: after sampling the saved first sequence, obtain a third sequence, wherein sampling obtains a sampling rate and sampling of the third sequence The second sequence has the same sampling rate; the processor is further configured to determine, according to the second sequence and the third sequence, a linearity corresponding to each Nyquist interval in at least one Nyquist interval in the spectrum of the transmitted signal a distortion coefficient; wherein the linear distortion coefficient is used to linearly compensate the transmitted signal.
  • the first sequence includes a first data sequence and a first preamble sequence set, where a spectrum of one preamble sequence corresponds to a spectrum of one preamble sequence a second sequence comprising a second data sequence corresponding to the first data sequence and a received sequence set corresponding to the first preamble sequence
  • the processor being specifically configured to: the first sequence After the first preamble sequence set is sampled, the second preamble sequence set of the third sequence is obtained, and the sampling rate obtained by sampling to obtain the second preamble sequence set is the same as the sampling rate obtained by sampling to obtain the received sequence set; the processor is further used for And determining, according to the received sequence set and the second preamble sequence set, a linear distortion coefficient corresponding to each Nyquist zone in at least one Nyquist zone of the spectrum of the transmitted signal.
  • the processor is specifically configured to: determine, by using a least square method, each of at least one Nyquist interval in a spectrum of the transmitted signal according to the received sequence set and the second preamble sequence set.
  • the linear distortion factor corresponding to the Nyquist interval is specifically configured to: determine, by using a least square method, each of at least one Nyquist interval in a spectrum of the transmitted signal according to the received sequence set and the second preamble sequence set.
  • the predistortion apparatus of the embodiment of the present application can accurately estimate the linear distortion coefficient of each Nyquist interval in the spectrum of the transmitted signal by the design of the preamble sequence, effectively for each Nyquist interval of the transmitted signal.
  • the data is linearly compensated.
  • the first sequence includes a first data sequence
  • the second sequence includes a second data sequence corresponding to the first data sequence
  • the processor Specifically used to: Taking data of each Nyquist interval in the at least one Nyquist interval in the first data sequence; sampling data of each Nyquist interval in the at least one Nyquist interval a reference sequence set, the sampling rate obtained by sampling the reference sequence set is the same as the sampling rate obtained by sampling the second data sequence; the processor is further configured to determine a spectrum of the transmitted signal according to the second data sequence and the reference sequence set A linear distortion coefficient corresponding to each Nyquist interval in at least one Nyquist interval.
  • the processor is specifically configured to: determine, by using a least square method, each nanometer in at least one Nyquist interval in a spectrum of the transmitted signal according to the second data sequence and the reference sequence set The linear distortion factor corresponding to the Quest interval.
  • the predistortion device of the embodiment of the present application can estimate the linear distortion coefficient of each Nyquist interval in the spectrum of the transmitted signal, and realize linear compensation for the data of each Nyquist interval of the transmitted signal.
  • the processor is specifically configured to perform linear compensation on the reference sequence set.
  • the processor is further configured to extract each of the at least one Nyquist interval in the first data sequence Data of the Nyquist interval; linearly compensating the data of each Nyquist interval in the at least one Nyquist interval to obtain a reference sequence set, obtaining the reference sequence set and sampling to obtain the second data
  • the sampling rate of the sequence is the same; the processor is specifically configured to: linearly compensate the reference sequence set.
  • the processor is further configured to use the reference sequence set A first reference data set is determined for the linear distortion coefficient corresponding to each of the Nyquist intervals in the one Nyquist interval, the first reference data set being used to determine a nonlinear distortion coefficient of the transmitted signal.
  • the processor is specifically configured to: convolute the reference sequence set with a linear distortion coefficient corresponding to each Nyquist interval in the at least one Nyquist interval to obtain a first reference. data set.
  • the processor is further configured to determine the sending according to the first reference data set and the second data sequence a nonlinear distortion coefficient of the signal; the processor is further configured to nonlinearly compensate the transmission signal according to the nonlinear distortion coefficient.
  • the processor is specifically configured to: add each reference data in the first reference data set to obtain Second reference data; determining a nonlinear distortion coefficient of the transmitted signal according to the second reference data and the second data sequence.
  • the predistortion device of the embodiment of the present application can effectively estimate and compensate linear distortion of each Nyquist interval in at least one Nyquist interval in the transmitted signal, thereby effectively estimating and compensating for nonlinearity of the transmitted signal. distortion.
  • a predistortion apparatus configured to send a first sequence, and save the first sequence of the transmission; the transceiver module is further configured to receive a second sequence of feedback, the The second sequence is a sequence obtained by performing distortion sampling on the first sequence, and a processing module is configured to obtain a third sequence after sampling the saved first sequence, wherein sampling obtains a sampling rate and sampling of the third sequence The sampling rate of the second sequence is the same; the processing module is further configured to determine, according to the second sequence and the third sequence, a linearity corresponding to each Nyquist interval in at least one Nyquist interval in a spectrum of the transmitted signal. a distortion coefficient; wherein the linear distortion coefficient is used to linearly compensate the transmitted signal.
  • the first sequence includes the first data a sequence and a first set of preamble sequences, wherein the spectrum of one preamble sequence corresponds to a Nyquist interval
  • the second sequence includes a second data sequence corresponding to the first data sequence and the first
  • the processing module is configured to: after sampling the first preamble sequence set of the first sequence, obtaining a second preamble sequence set of the third sequence, and obtaining the second preamble by sampling
  • the sampling rate of the sequence set is the same as the sampling rate obtained by sampling the received sequence set; the processing module is further configured to determine at least one Nyquist interval in the spectrum of the transmitted signal according to the received sequence set and the second preamble sequence set.
  • the linear distortion coefficient corresponding to each Nyquist interval is the linear distortion coefficient corresponding to each Nyquist interval.
  • the processing module is specifically configured to: determine, by using a least square method, each of at least one Nyquist interval in a spectrum of the transmitted signal according to the received sequence set and the second preamble sequence set.
  • the linear distortion factor corresponding to the Nyquist interval is specifically configured to: determine, by using a least square method, each of at least one Nyquist interval in a spectrum of the transmitted signal according to the received sequence set and the second preamble sequence set.
  • the predistortion apparatus of the embodiment of the present application can accurately estimate the linear distortion coefficient of each Nyquist interval in the spectrum of the transmitted signal by the design of the preamble sequence, effectively for each Nyquist interval of the transmitted signal.
  • the data is linearly compensated.
  • the first sequence includes a first data sequence
  • the second sequence includes a second data sequence corresponding to the first data sequence
  • the processing module Specifically, the data of each Nyquist interval in the at least one Nyquist interval in the first data sequence is extracted; and data of each Nyquist interval in the at least one Nyquist interval is performed.
  • the processing module is further configured to determine the second data sequence and the reference sequence set according to the second data sequence and the reference sequence set A linear distortion coefficient corresponding to each Nyquist interval in at least one Nyquist interval in the spectrum of the transmitted signal.
  • the processing module is specifically configured to: determine, by using a least square method, each nanometer in at least one Nyquist interval in a spectrum of the transmitted signal according to the second data sequence and the reference sequence set The linear distortion factor corresponding to the Quest interval.
  • the predistortion device of the embodiment of the present application can estimate the linear distortion coefficient of each Nyquist interval in the spectrum of the transmitted signal, and realize linear compensation for the data of each Nyquist interval of the transmitted signal.
  • the processing module is specifically configured to perform linear compensation on the reference sequence set.
  • the processing module is further configured to extract each of the at least one Nyquist interval in the first data sequence Data of the Nyquist interval; after sampling the data of each Nyquist interval in the at least one Nyquist interval, obtaining a reference sequence set, obtaining the reference sequence set and sampling to obtain the second data
  • the sampling rate of the sequence is the same; the processing module is specifically configured to: linearly compensate the reference sequence set.
  • the processing module is further configured to use the reference sequence set A first reference data set is determined for the linear distortion coefficient corresponding to each of the Nyquist intervals in the one Nyquist interval, the first reference data set being used to determine a nonlinear distortion coefficient of the transmitted signal.
  • the processing module is specifically configured to: convolve the reference sequence set with a linear distortion coefficient corresponding to each Nyquist interval in the at least one Nyquist interval to obtain a first reference. data set.
  • the processing module is further configured to determine, according to the first reference data set and the second data sequence, the sending Signal nonlinearity a distortion coefficient; the processing module is further configured to perform nonlinear compensation on the transmission signal according to the nonlinear distortion coefficient.
  • the processing module is specifically configured to: add each reference data in the first reference data set to obtain Second reference data; determining a nonlinear distortion coefficient of the transmitted signal according to the second reference data and the second data sequence.
  • the predistortion device of the embodiment of the present application can effectively estimate and compensate linear distortion of each Nyquist interval in at least one Nyquist interval in the transmitted signal, thereby effectively estimating and compensating for nonlinearity of the transmitted signal. distortion.
  • a predistortion system comprising a transmitting end and a receiving end, wherein the transmitting end comprises the apparatus in any of the foregoing possible implementation manners of the second aspect and the second aspect; or The transmitting end includes the apparatus in any of the foregoing possible implementation manners of the third aspect and the third aspect.
  • a computer readable storage medium is provided, the instructions being stored in a computer readable storage medium, when executed on a computer, causing the computer to perform the method of the various aspects described above.
  • FIG. 1 is a schematic diagram of an application scenario of a technical solution in the embodiment of the present application.
  • FIG. 2 is a schematic flow chart of a predistortion method according to an embodiment of the present application.
  • FIG. 3 is a schematic block diagram of a data structure of a transmission signal and a reception signal according to an embodiment of the present application.
  • FIG. 4 is another schematic block diagram of a data structure of a transmitted signal and a received signal according to an embodiment of the present application.
  • FIG. 5 is an algorithm flow diagram of a predistortion method according to an embodiment of the present application.
  • FIG. 6 is another algorithm flow diagram of a predistortion method in accordance with an embodiment of the present application.
  • FIG. 7 is a schematic block diagram of a predistortion apparatus according to an embodiment of the present application.
  • FIG. 8 is another schematic block diagram of a predistortion device according to an embodiment of the present application.
  • FIG. 9 is a schematic block diagram of a predistortion system in accordance with an embodiment of the present application.
  • FIG. 10 is another schematic block diagram of a predistortion system in accordance with an embodiment of the present application.
  • FIG. 1 is a schematic diagram of an application scenario of the technical solution of the embodiment of the present application, as shown in FIG.
  • the combination of the module and the power amplifier module can offset the linear and nonlinear characteristics of the power amplifier to achieve the compensation effect.
  • FIG. 2 shows a schematic flowchart of a predistortion method according to an embodiment of the present application. As shown in FIG. 2, the method 100 includes:
  • S120 Receive a second sequence of feedback, where the second sequence is a sequence obtained by performing distortion sampling on the first sequence.
  • the execution body of the foregoing predistortion method may be a transmitting end or a part of the transmitting end, for example, may be the predistortion module in FIG. 1 .
  • the transmitting end receives a second sequence of feedback, where the second sequence is a sequence of distortion-sampling the first sequence, where the second sequence includes linear distortion and Nonlinear distortion
  • the transmitting end determines the linear distortion coefficient and the nonlinear distortion coefficient through the second sequence of the feedback, and linearly compensates the transmission signal of the transmitting end, or further performs nonlinear compensation on the transmitted signal after performing linear compensation.
  • the predistortion module of the transmitting end first transmits a first sequence, and the first sequence passes through the digital-to-analog converter DAC and becomes an analog signal, which is sent to the far end (receiving end) after passing through the power amplifier.
  • the analog signal outputted by the power amplifier needs to be recovered.
  • the second sequence is obtained, and the digital-to-analog conversion is obtained.
  • the ADC outputs a second sequence obtained to the predistortion module, which includes linear distortion and nonlinear distortion.
  • sampling rate obtained by sampling to obtain the second sequence is determined by the hardware parameters of the predistortion module in the transmitting end or the transmitting end, and the predistortion module of the transmitting end or the transmitting end may know the hardware parameter in advance.
  • the first sequence includes a first data sequence and a first preamble sequence set
  • the second sequence includes a second data sequence corresponding to the first data sequence and a received sequence set corresponding to the first preamble sequence set .
  • FIG. 3 shows a schematic block diagram of a data structure of a transmission signal and a reception signal according to an embodiment of the present application.
  • the transmission signal includes a first data sequence TX_DPD and a first preamble sequence set T_P1, T_P2.
  • the spectrum of the transmitted signal TX spans three Nyquist intervals, respectively the first Nyquist interval, the second Nyquist interval and the third Nyquist interval, respectively designed
  • the first data sequence TX_DPD is a normal data sequence selected as the estimated DPD coefficient.
  • the transmitting end receives the feedback received signal, the received signal comprising a second sequence comprising a second data sequence RX_DPD and a received sequence set R_P1, R_P2 and R_P3.
  • the R_P1 includes linear distortion and nonlinear distortion in the first Nyquist interval
  • the R_P2 includes linear distortion and nonlinear distortion in the second Nyquist interval
  • the R_P3 includes the third Ny Linear distortion and nonlinear distortion in the Quest interval.
  • the first sequence comprises a first data sequence
  • the second sequence comprising a second data sequence corresponding to the first data sequence
  • DATA in FIG. 3 represents data that is normally transmitted.
  • DATA in FIG. 3 represents data that is normally transmitted.
  • TX_DPD since the position of TX_DPD is selected, there is a data structure shown in FIG. 3, and actually there is data that is normally output before TX_DPD.
  • the above-mentioned transmitted signal spectrum spans only three Nyquist intervals, and can be divided into four or five Nyquist intervals, and can be divided into other numbers of Nyquist regions.
  • the application is not limited to this.
  • a four-segment preamble sequence can be designed separately.
  • the four preamble sequences occupy the corresponding Nyquist intervals, respectively, and the application is not limited thereto.
  • FIG. 4 shows another schematic block diagram of a data structure of a transmission signal and a reception signal according to an embodiment of the present application.
  • the transmission signal includes a first data sequence TX_DPD, and the spectrum of the transmission signal spans.
  • the first data sequence TX_DPD is selected to estimate the normal DPD coefficient a data sequence
  • the sender obtains first Nyquist interval data and a second Nyquist zone by extracting data of each Nyquist zone in the at least one Nyquist zone of the first data sequence TX_DPD
  • the inter-data and the third Nyquist interval data the transmitting end receives the feedback received signal, the received signal comprising a second sequence, the second sequence comprising the second data sequence RX_DPD.
  • DATA in FIG. 4 represents data that is normally transmitted.
  • DATA in FIG. 4 represents data that is normally transmitted.
  • TX_DPD since the position of TX_DPD is selected, there is a data structure shown in FIG. 4, and actually there is data that is normally output before TX_DPD.
  • the above-mentioned transmitted signal spectrum spans only three Nyquist intervals, and can be divided into four or five Nyquist intervals, and can be divided into other numbers of Nyquist regions.
  • the application is not limited to this.
  • sampling rate obtained by sampling to obtain the third sequence is the same as sampling rate obtained by sampling to obtain the second sequence.
  • the sending end obtains the sampling rate information of the second sequence in advance
  • the saved first sequence is directly sampled to obtain a third sequence
  • the sampling rate of the third sequence is obtained by sampling and the second phase is obtained by sampling.
  • the sampling rate of the sequence is the same.
  • the second sequence of receiving feedback in S120 and the first sequence of S1.3 being sampled in S130 to obtain a third sequence are not in sequence, and the transmitting end may obtain the sampling rate of the second sequence in advance, and send the first After the sequence, the saved first sequence is sampled to obtain a third sequence, and after the second sequence of feedback is received, the saved first sequence is sampled to obtain a third sequence.
  • the predistortion module obtains sampling rate information of a downsampling rate analog-to-digital converter ADC in advance, and the pre-distortion module samples the saved first sequence to obtain a third sequence, and obtains a third sampling.
  • the sampling rate of the sequence is the same as the sampling rate of the second sequence obtained by the ADC of the downsampling rate analog-to-digital converter.
  • the first sequence includes a first data sequence and a first preamble sequence set, and a spectrum of each preamble sequence in the first preamble sequence corresponds to each Nyquist zone in the at least one Nyquist interval
  • the second sequence includes a second data sequence corresponding to the first data sequence and a received sequence set corresponding to the first preamble sequence set,
  • the second sequence of the third sequence is obtained, and the second preamble sequence of the third sequence is obtained, and the sample is obtained.
  • Obtaining the second set of preamble sequences is the same as sampling the sampling set to obtain the received sequence set.
  • the transmitting end samples the first preamble sequence set of the saved first sequence, obtains a second preamble sequence set of the third sequence, and obtains the second preamble sequence set and samples to obtain the received sequence set.
  • the sampling rate is the same.
  • the three preamble sequences T_P1, T_P2 and T_P3 are designed by the three Nyquist intervals of the spectrum of the transmitted signal.
  • the sampling rate of the first preamble sequence is 3 GHz
  • the sampling rate of the received sequence set is The case of 1 GHz will be described.
  • the transmitting end samples the saved first preamble sequence set of the first sequence, the second preamble sequence set of the third sequence is obtained, and the second preamble sequence set is obtained by sampling, and the received sequence set is obtained by sampling.
  • the sampling rate is the same, which can be achieved by the following steps:
  • the transmitting end extracts T_P1, T_P2 and T_P3 data respectively, and extracts one sampling point every three points, so that the data sampling rate after the extraction is changed from 3 GHz to 1 GHz, and the second preamble sequence sets T_P1_d, T_P2_d and T_P3_d are obtained, and the second preamble sequence is obtained.
  • the set has the same sampling rate as the received sequence sets R_P1, R_P2, and R_P3.
  • the above method only extracts one sampling point every three points, so that the sampling rate of the obtained second preamble sequence set is the same as the sampling rate of the received sequence set obtained by sampling, and the sampling may be performed by other means.
  • the obtained sampling rate of the second preamble sequence set is the same as the sampling rate of the received sequence set of the second sequence obtained by sampling, as long as the sampling rate of the first preamble sequence set can be changed to and the sampling rate of the received sequence set is obtained by sampling. The same manner is within the scope of protection of the present application.
  • the first sequence includes a first data sequence
  • the second sequence includes a second data sequence corresponding to the first data sequence
  • the third sequence is obtained, including:
  • sampling data of each Nyquist interval in the at least one Nyquist interval After sampling data of each Nyquist interval in the at least one Nyquist interval, obtaining a reference sequence set, and obtaining a sampling rate obtained by sampling to obtain the second data sequence is the same as sampling;
  • the transmitting end first extracts data of each Nyquist interval in the first data sequence, and samples the data of each Nyquist interval to obtain a reference sequence set, and obtains the reference by sampling.
  • the sequence set is the same as the sample rate obtained by sampling to obtain the second data sequence in the second sequence, and the spectrum of the transmitted signal is respectively three Nyquist intervals, and each of the at least one Nyquist interval is Nyquist.
  • the case where the sampling rate of the data of the specific section is 3 GHz and the sampling rate of the second data sequence is 1 GHz will be described.
  • the transmitting end samples the data of each Nyquist interval in the at least one Nyquist interval to obtain a reference sequence set, and the sampling obtains the reference sequence set and the sample rate obtained by sampling to obtain the second data sequence is the same. This can be achieved by the following steps:
  • the transmitting end passes the TX_DPD data through the digital band pass filter, extracts the data of the first Nyquist interval, samples the data of the first Nyquist interval (three times extraction), and obtains the same sampling rate as the RX_DPD. data.
  • the above method only changes the sampling rate of the first data sequence by the method of triple extraction, and can also change the sampling rate by other methods so as to be the same as the sampling rate of the second data sequence, as long as the first It is within the scope of the present application to change the sampling rate of a data sequence to be the same as the sampling rate of the second data sequence.
  • S140 Determine, according to the second sequence and the third sequence, a linear distortion coefficient corresponding to each Nyquist interval in at least one Nyquist interval in a spectrum of the transmitted signal, where the linear distortion coefficient is used to The transmitted signal is linearly compensated.
  • the transmitting end determining, according to the second sequence and the third sequence, a linear distortion coefficient corresponding to each Nyquist interval in at least one Nyquist interval in a spectrum of the transmitted signal, including:
  • the transmitting end determines, according to the received sequence set and the second preamble sequence set, a linear distortion coefficient corresponding to each Nyquist zone in at least one Nyquist zone of the spectrum of the transmitted signal.
  • T_P1_d and R_P1 can be determined by the LS method, and the present application is not limited thereto.
  • the predistortion method of the embodiment of the present application can accurately estimate the linear distortion coefficient of each Nyquist interval in the spectrum of the transmitted signal by the design of the preamble sequence, effectively for each Nyquist interval of the transmitted signal.
  • the data is linearly compensated.
  • the transmitting end determines, according to the second sequence and the third sequence, each Nyquist zone in at least one Nyquist zone in the spectrum of the transmitted signal.
  • Corresponding linear distortion coefficients including:
  • the transmitting end determines, according to the second data sequence and the reference sequence set, a linear distortion coefficient corresponding to each Nyquist zone in at least one Nyquist zone of the spectrum of the transmitted signal.
  • the predistortion method of the embodiment of the present application can estimate the linear distortion coefficient of each Nyquist interval in the spectrum of the transmitted signal, and realize linear compensation for the data of each Nyquist interval of the transmitted signal.
  • the method further includes:
  • the sampling rate obtained by sampling to obtain the reference sequence set is the same as the sampling rate obtained by sampling to obtain the second data sequence
  • the linear distortion coefficient is used for linearly compensating the transmitted signal, including: linearly compensating the reference sequence set.
  • the estimated linear distortion coefficients of each Nyquist interval are directly compensated for the reference sequence set.
  • the method for predistortion further comprises: determining, according to the linear distortion coefficient corresponding to each Nyquist interval in the at least one Nyquist interval, the first reference data set, the first The reference data set is used to determine the nonlinear distortion factor of the transmitted signal.
  • determining the first reference data set according to the linear distortion coefficient corresponding to each Nyquist interval in the at least one Nyquist interval according to the reference sequence set comprises: the reference sequence set and the at least one The linear distortion coefficient corresponding to each Nyquist interval in the Nyquist interval is convoluted to obtain a first reference data set, and the present application is not limited thereto.
  • the method further includes:
  • the transmission signal is nonlinearly compensated based on the nonlinear distortion coefficient.
  • determining the nonlinear distortion coefficient of the transmitted signal according to the first reference data set and the second data sequence including:
  • FIG. 5 is a flowchart of a predistortion algorithm according to an embodiment of the present application.
  • the transmitting end determines, according to the second preamble sequence set T_P1_d, T_P2_d, and T_P3_d, and the received sequence sets R_P1, R_P2, and R_P3, corresponding to each Nyquist zone in at least one Nyquist zone of the spectrum of the transmitted signal.
  • a linear distortion coefficient Fir1 of the first Nyquist interval is determined by T_P1_d and R_P1; a linear distortion coefficient Fir2 of the second Nyquist interval is determined by T_P2_d and R_P2; and a third Ny is determined by T_P3_d and R_P3
  • the linear distortion coefficient Fir3 of the Quest interval After estimating the linear distortion coefficient of each Nyquist interval in at least one Nyquist interval, the transmitting end extracts each Nyquist interval in at least one Nyquist interval in the first data sequence.
  • the transmitting end determines a first reference data set Ref_DPD according to the linear distortion coefficient corresponding to each Nyquist interval in the at least one Nyquist interval, and the transmitting end is configured according to the first reference data set Ref_DPD And the second data sequence RX_DPD, determining a nonlinear distortion coefficient of the transmission signal, and the transmitting end nonlinearly compensates the transmission signal according to the nonlinear distortion coefficient.
  • the transmitting end extracts each Nyquist interval in at least one Nyquist interval in the first data sequence TX_DPD. Data, and after sampling the data of each Nyquist interval, obtaining a reference sequence set, and the transmitting end determines at least one Nyk in the spectrum of the transmitted signal according to the reference sequence set and the second data sequence RX_DPD.
  • Nyquist in the Intersection a linear distortion coefficient corresponding to the special interval, wherein the first Nyquist interval data is sampled and the RX_DPD determines the linear distortion coefficient Fir1 of the first Nyquist interval; after sampling the second Nyquist interval data And RX_DPD determine the linear distortion coefficient Fir2 of the second Nyquist interval; after sampling the third Nyquist interval data and RX_DPD determining the linear distortion coefficient Fir3 of the third Nyquist interval.
  • the transmitting end estimates the linear distortion coefficients Fir1, Fir2 and Fir3 of each Nyquist interval. Compensate the set of reference sequences.
  • the transmitting end determines a first reference data set Ref_DPD according to the linear distortion coefficient corresponding to each Nyquist interval in the at least one Nyquist interval, and the transmitting end is configured according to the first reference data set Ref_DPD And the second data sequence RX-_DPD, determining a nonlinear distortion coefficient of the transmission signal, and the transmitting end nonlinearly compensates the transmission signal according to the nonlinear distortion coefficient.
  • the predistortion method of the embodiment of the present application can effectively estimate and compensate linear distortion of each Nyquist interval in at least one Nyquist interval in the transmitted signal, thereby effectively estimating and compensating for nonlinearity of the transmitted signal. distortion.
  • the predistortion method according to the embodiment of the present application is described in detail above with reference to FIG. 2 to FIG. 6, and the predistortion apparatus and system of the embodiment of the present application are described in detail below with reference to FIG. 7 to FIG.
  • FIG. 7 shows a schematic block diagram of a predistortion device 200 according to an embodiment of the present application. As shown in FIG. 7, the device 200 includes:
  • the transceiver 210 is configured to send the first sequence and save the first sequence of the sending;
  • the transceiver 210 is further configured to receive a second sequence of feedback, where the second sequence is a sequence obtained by performing distortion sampling on the first sequence;
  • the processor 220 is configured to obtain a third sequence after sampling the saved first sequence, where a sampling rate obtained by sampling to obtain the third sequence is the same as a sampling rate obtained by sampling to obtain the second sequence;
  • the processor 220 is further configured to determine, according to the second sequence and the third sequence, a linear distortion coefficient corresponding to each Nyquist interval in at least one Nyquist interval in a spectrum of the transmitted signal;
  • the linear distortion coefficient is used to linearly compensate the transmitted signal.
  • the foregoing predistortion apparatus may correspond to the predistortion module in FIG. 1, or may correspond to a part or the whole of the transmitting end in the DPD technology, and the transceiver 210 of the transmitting end sends the first sequence, and saves the first sequence of the sending.
  • the second sequence is a sequence of distortion-sampling the first sequence
  • the processor 220 at the transmitting end samples the saved first sequence to obtain a third sequence, and the third phase is obtained by sampling.
  • the sampling rate of the sequence is the same as the sampling rate obtained by sampling the second sequence, and the processor 220 at the transmitting end calculates the Nyquist interval of at least one Nyquist interval according to the second sequence and the third sequence.
  • the linear distortion coefficient is compensated linearly and nonlinearly by the processor at the transmitting end to compensate the transmitted signal.
  • the predistortion device of the embodiment of the present application can effectively estimate and compensate linear distortion, and helps to avoid affecting the estimation and compensation of subsequent nonlinear distortion.
  • the first sequence includes a first data sequence and a first preamble sequence, where a spectrum of one preamble sequence corresponds to a Nyquist interval, and the second sequence includes the first data.
  • the processor 220 is specifically configured to: after sampling the first preamble sequence set of the first sequence, obtain a second preamble sequence set of the third sequence, and obtain a sampling rate and a sampling result of the second preamble sequence set by sampling The sampling sequence of the received sequence set is the same;
  • the processor 220 is further configured to: determine, according to the received sequence set and the second preamble sequence set, a linear distortion coefficient corresponding to each Nyquist zone in at least one Nyquist zone of the spectrum of the transmitted signal.
  • the predistortion apparatus of the embodiment of the present application can accurately estimate the linear distortion coefficient of each Nyquist interval in the spectrum of the transmitted signal by the design of the preamble sequence, effectively for each Nyquist interval of the transmitted signal.
  • the data is linearly compensated.
  • the first sequence includes a first data sequence
  • the second sequence includes a second data sequence corresponding to the first data sequence
  • the processor 220 is specifically configured to: extract data of each Nyquist interval in the at least one Nyquist interval in the first data sequence;
  • the sampling rate obtained by sampling to obtain the reference sequence set is the same as the sampling rate obtained by sampling to obtain the second data sequence
  • the processor 220 is further configured to determine, according to the second data sequence and the reference sequence set, a linear distortion coefficient corresponding to each Nyquist interval in at least one Nyquist interval in a spectrum of the transmitted signal.
  • the predistortion device of the embodiment of the present application can estimate the linear distortion coefficient of each Nyquist interval in the spectrum of the transmitted signal, and realize linear compensation for the data of each Nyquist interval of the data sequence.
  • the processor 220 is specifically configured to perform linear compensation on the reference sequence set.
  • the processor 220 is further configured to extract data of each Nyquist interval in the at least one Nyquist interval in the first data sequence;
  • the sampling rate obtained by sampling to obtain the reference sequence set is the same as the sampling rate obtained by sampling to obtain the second data sequence
  • the processor 220 is specifically configured to perform linear compensation on the reference sequence set.
  • the processor 220 is further configured to determine, according to the linear distortion coefficient corresponding to each Nyquist interval in the one Nyquist interval, the first reference data set, the first reference The data set is used to determine the nonlinear distortion factor of the transmitted signal.
  • the processor 220 is further configured to determine a nonlinear distortion coefficient of the transmitted signal according to the first reference data set and the second data sequence;
  • the processor 220 is further configured to perform nonlinear compensation on the transmitted signal according to the nonlinear distortion coefficient.
  • the processor 220 is specifically configured to: add each reference data in the first reference data set to obtain second reference data;
  • the predistortion device of the embodiment of the present application can effectively estimate and compensate linear distortion of each Nyquist interval in at least one Nyquist interval in the transmitted signal, thereby effectively estimating and compensating for nonlinearity of the transmitted signal. distortion.
  • FIG. 8 shows a schematic block diagram of a predistortion device 300 according to an embodiment of the present application. As shown in FIG. 8, the device 300 includes:
  • the transceiver module 310 is configured to send the first sequence and save the first sequence of the sending;
  • the transceiver module 310 is further configured to receive a second sequence of feedback, where the second sequence is a sequence obtained by performing distortion sampling on the first sequence;
  • the processing module 320 is configured to: after sampling the saved first sequence, obtain a third sequence, and the sampling rate obtained by sampling to obtain the third sequence is the same as the sampling rate obtained by sampling to obtain the second sequence;
  • the processing module 320 is further configured to determine, according to the second sequence and the third sequence, a linear distortion coefficient corresponding to each Nyquist interval in at least one Nyquist interval in a spectrum of the transmitted signal;
  • the linear distortion coefficient is used to linearly compensate the transmitted signal.
  • the pre-distortion device may correspond to the pre-distortion module in FIG. 1 , or may correspond to a part or the whole of the transmitting end in the DPD technology, and the transceiver module 310 of the transmitting end sends the first sequence to save the first sequence of the sending.
  • the second sequence is a sequence of distortion-sampling the first sequence
  • the processing module 320 at the transmitting end samples the saved first sequence to obtain a third sequence, and the third phase is obtained by sampling.
  • the sampling rate of the sequence is the same as the sampling rate obtained by sampling the second sequence, and the processing module 320 at the transmitting end calculates the Nyquist interval of at least one Nyquist interval according to the second sequence and the third sequence.
  • the linear distortion coefficient is compensated linearly and nonlinearly by the processor at the transmitting end to compensate the transmitted signal.
  • the predistortion device of the embodiment of the present application can effectively estimate and compensate linear distortion, and helps to avoid affecting the estimation and compensation of subsequent nonlinear distortion.
  • the first sequence includes a first data sequence and a first preamble sequence, where a spectrum of one preamble sequence corresponds to a Nyquist interval, and the second sequence includes the first data.
  • the processing module 320 is specifically configured to: after sampling the first preamble sequence set of the first sequence, obtain a second preamble sequence set of the third sequence, and obtain a sampling rate and a sampling result of the second preamble sequence set by sampling The sampling sequence of the received sequence set is the same;
  • the processing module 320 is further configured to: determine, according to the received sequence set and the second preamble sequence set, a linear distortion coefficient corresponding to each Nyquist interval in at least one Nyquist interval in a spectrum of the transmitted signal.
  • the predistortion apparatus of the embodiment of the present application can accurately estimate the linear distortion coefficient of each Nyquist interval in the spectrum of the transmitted signal by the design of the preamble sequence, effectively for each Nyquist interval of the data sequence.
  • the data is linearly compensated.
  • the first sequence includes a first data sequence
  • the second sequence includes a second data sequence corresponding to the first data sequence
  • the processing module 320 is specifically configured to: extract data of each Nyquist interval in the at least one Nyquist interval in the first data sequence;
  • the sampling rate obtained by sampling to obtain the reference sequence set is the same as the sampling rate obtained by sampling to obtain the second data sequence
  • the processing module 320 is further configured to determine, according to the second data sequence and the reference sequence set, a linear distortion coefficient corresponding to each Nyquist interval in at least one Nyquist interval in a spectrum of the transmitted signal.
  • the predistortion device of the embodiment of the present application can estimate the linear distortion coefficient of each Nyquist interval in the spectrum of the transmitted signal, and realize linear compensation for the data of each Nyquist interval of the data sequence.
  • the processing module 320 is specifically configured to perform linear compensation on the reference sequence set.
  • the processing module 320 is further configured to extract data of each Nyquist interval in the at least one Nyquist interval in the first data sequence;
  • the sampling rate obtained by sampling to obtain the reference sequence set is the same as the sampling rate obtained by sampling to obtain the second data sequence
  • the processing module 320 is specifically configured to perform linear compensation on the reference sequence set.
  • the processing module 320 is further configured to: according to the reference sequence set and the one of the Nyquist intervals A linear distortion coefficient corresponding to the Nyquist interval determines a first reference data set, the first reference data set being used to determine a nonlinear distortion coefficient of the transmitted signal.
  • the processing module 320 is further configured to determine a nonlinear distortion coefficient of the transmit signal according to the first reference data set and the second data sequence;
  • the processing module 320 is further configured to perform nonlinear compensation on the transmission signal according to the nonlinear distortion coefficient.
  • the processing module 320 is specifically configured to: add each reference data in the first reference data set to obtain second reference data;
  • the predistortion device of the embodiment of the present application can effectively estimate and compensate linear distortion of each Nyquist interval in at least one Nyquist interval in the transmitted signal, thereby effectively estimating and compensating for nonlinearity of the transmitted signal. distortion.
  • FIG. 9 shows a schematic block diagram of a predistortion system 400 according to an embodiment of the present application.
  • the predistortion system includes a transmitting end 410 and a receiving end 420, wherein the transmitting end 410 includes a predistortion module 411. a digital-to-analog converter 412, a power amplifier 413, and an analog-to-digital converter 414, wherein the predistortion module transmits a first sequence and stores a first sequence of the transmission, the first sequence being subjected to an analog signal by a digital to analog converter 412
  • the analog signal is sent to the receiving end 420 via the power amplifier 413. After the power amplifier 413, the analog signal generates linear distortion and nonlinear distortion.
  • the analog signal passes through the power amplifier 413 and can pass through a coupler to be amplified.
  • the analog signal is sampled by an analog to digital converter 414 to obtain a second sequence comprising linear distortion and nonlinear distortion.
  • the analog to digital converter 414 transmits the second sequence of the output to the predistortion module 411, the predistortion. After the module 411 samples the saved first sequence, a third sequence is obtained, and the sample rate of the third sequence is obtained by sampling, and the second sequence is obtained by sampling.
  • the predistortion module 411 determines, according to the second sequence and the third sequence, a linear distortion coefficient of each Nyquist interval in at least one Nyquist interval in the spectrum of the transmitted signal, and according to the linear distortion The coefficients linearly compensate and nonlinearly compensate the transmitted signal.
  • the pre-distortion module 411 may be an execution body of the method 100, and may correspond to the foregoing apparatus 200, that is, may include the transceiver 210 and the processor 220 in the foregoing apparatus 200, and may also correspond to the foregoing apparatus 300, that is, may include The transceiver 310 and the processor 320 in the above device 300.
  • FIG. 10 shows a schematic block diagram of a predistortion system 500 according to an embodiment of the present application.
  • the transmitting end 510 may correspond to the predistortion device of the device 200 or the device 300, or may correspond to the above system.
  • the predistortion module 411 in the 400, the transceiver 411 corresponds to the transceiver 210 of the device 200, and may also correspond to the transceiver module 310 of the device 300;
  • the processor 412 may correspond to the processor 220 of the device 200, or may correspond to At processing module 320 of device 300, receiving end 420 receives the signal and provides feedback to the transmitting end.
  • the processor may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of a CPU and an NP.
  • the processor may further include a hardware chip.
  • the hardware chip may be an Application-Specific Integrated Circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof.
  • the PLD may be a Complex Programmable Logic Device (CPLD), a Field-Programmable Gate Array (FPGA), a Generic Array Logic (GAL), or any combination thereof.
  • the memory can be either volatile memory or non-volatile memory, or can include both volatile and non-volatile memory.
  • the non-volatile memory can be a read-only memory (ROM), which can be edited.
  • PROM Programmable ROM
  • EPROM Erasable PROM
  • EEPROM Electrically Erasable Programmable Read-Only Memory
  • Flash memory Flash memory.
  • the volatile memory can be a Random Access Memory (RAM) that acts as an external cache.
  • the computer program product can include one or more computer instructions.
  • the computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable device.
  • the computer instructions can be stored in a computer readable storage medium or transferred from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions can be from a website site, computer, server or data center Transfer to another website site, computer, server, or data center by wire (eg, coaxial cable, fiber optic, digital subscriber (DSL), or wireless (eg, infrared, wireless, microwave, etc.).
  • the computer readable storage medium can be any available media that can be accessed by a computer or a data storage device such as a server, data center, or the like that includes one or more available media.
  • the usable medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic disk), an optical medium (eg, a DVD), or a semiconductor medium (such as a solid state disk (SSD)).
  • the disclosed systems, devices, and methods may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the functions may be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a standalone product.
  • the technical solution of the present application which is essential or contributes to the prior art, or a part of the technical solution, may be embodied in the form of a software product, which is stored in a storage medium, including
  • the instructions are used to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the methods described in various embodiments of the present application. Step by step.
  • the foregoing storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read only memory, a random access memory, a magnetic disk, or an optical disk.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Nonlinear Science (AREA)
  • Power Engineering (AREA)
  • Amplifiers (AREA)
  • Transmitters (AREA)

Abstract

本申请提供了一种预失真方法和装置，该预失真方法包括：发送第一序列，并保存该发送的第一序列；接收反馈的第二序列，该第二序列为对该第一序列进行失真采样后的序列；对该保存的第一序列进行采样后，获得第三序列，其中，采样获得该第三序列的采样率与采样获得该第二序列的采样率相同；根据该第二序列和该第三序列，确定发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数；其中，该线性失真系数用于对该发送信号进行线性补偿。本申请实施例的预失真的方法，可以有效得估计并补偿线性失真。

Description

一种预失真方法、装置和系统 技术领域
本申请实施例涉及通信领域，并且更具体地，涉及一种预失真方法、装置和系统。
背景技术
通信产业一直被视为国民生产的支柱产业之一，通信相关的各种产品都与人们的生产生活息息相关。在通信系统(无线和有线)中，发射机是其中最为重要的组件之一，起到将基带信号进行调制、上变频并最终放大发射出去。功率放大器正是发射机中最重要的一个部件，其性能将直接影响到发射机乃至整个基站的性能。
功率放大器线性化技术自20世纪20年代发展至今，从刚开始的射频和模拟线性化，发展到现在的基带和数字线性化。早期的线性化技术往往从功率放大器的物理特性出发，通过改善射频电路来降低非线性，但是射频电路自身的可靠性并不好，因而这种方法对功率放大器线性度的改善并不高。此外，这种方式不能有效的补偿宽带条件下功率放大器的记忆性。上世纪80年代，预失真(Digital Pre-Distortion，DPD)技术的提出使线性化技术有了巨大发展，在所有线性化技术中，数字预失真是成本最低的一种。
降采样率DPD技术对非线性失真进行补偿的原理为：发送端数模转换器(Digital to Analog Converter，DAC)输出模拟基带信号，经过上变频输出射频信号，然后经过功率放大器。反馈链路信号先经过下变频输出基带模拟信号，然后降采样率模数转换器(Analog to Digital Converter，ADC)对信号采样，然后根据采集到的信号与发生参考信号计算DPD系数。由于采用模拟变频，所以ADC采样过程发生在低频段；同时信号带宽本身很窄，降采样率ADC采集到的信号发生的线性失真非常小，对后续非线性失真估计影响不大。
现在通信系统，如有线电缆数据服务接口规范(Data Over Cable Service Interface Specifications，DOCSIS)，开始趋向于全数字变频技术，从而减少模拟器件的使用，提高系统的性能及稳定性。对于这类系统，ADC采样过程发生在高频，同时信号带宽非常宽，导致降采样率ADC采集到的信号发生的线性失真比较大，对后续非线性失真估计影响很大，所以在采用预失真技术之前，必须先估计出线性失真。
由于现有技术基于模拟变频及很窄的信号带宽，线性失真比较小，所以可以直接使用最小二乘法(Least Square，LS)估计，在全数字变频及宽带系统中，如果直接使用LS估计线性失真，就无法有效估计线性失真，对后续非线性失真估计影响很大。
发明内容
本申请实施例提供了一种预失真的方法、装置和系统，可以有效地估计并补偿线性失真，有助于避免对后续非线性失真的估计和补偿造成影响。
第一方面，提供了一种预失真方法，该方法包括：发送第一序列，并保存该发送的第一序列；接收反馈的第二序列，该第二序列为对该第一序列进行失真采样后的序列；对该保存的第一序列进行采样后，获得第三序列，其中，采样获得该第三序列的采样率与采样获得该第二序列的采样率相同；根据该第二序列和该第三序列，确定发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数；其中，该线性 失真系数用于对该发送信号进行线性补偿。
结合第一方面，在第一方面的第一种可能的实现方式中，该第一序列包括第一数据序列和第一前导序列集，该第一前导序列集中一个前导序列的频谱对应于一个奈奎斯特区间，该第二序列包括与该第一数据序列对应的第二数据序列和与该第一前导序列集对应的接收序列集，其中，该对该保存的第一序列进行采样后，获得第三序列，包括：对该第一序列的该第一前导序列集进行采样后，获得第三序列的第二前导序列集，采样获得该第二前导序列集的采样率与采样获得该接收序列集的采样率相同；其中，该根据该第二序列和该第三序列，确定发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，包括：根据该接收序列集和该第二前导序列集，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
在一些可能的实现方式中，该根据该接收序列集和该第二前导序列集，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，包括：采用最小二乘法，根据该接收序列集和该第二前导序列集，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
本申请实施例的预失真方法，通过前导序列的设计，能够准确得估计出发送信号频谱中每个奈奎斯特区间的线性失真系数，有效地对发送信号的每个奈奎斯特区间的数据进行线性补偿。
结合第一方面，在第一方面的第二种可能的实现方式中，该第一序列包括第一数据序列，该第二序列包括与该第一数据序列对应的第二数据序列，其中，该对该保存的第一序列进行采样后，获得第三序列，包括：提取该第一数据序列中该至少一个奈奎斯特区间中每个奈奎斯特区间的数据；对该至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得该参考序列集的采样率与采样获得该第二数据序列的采样率相同；其中，根据该第二序列和该第三序列，确定发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，包括：根据该第二数据序列和该参考序列集，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
在一些可能的实现方式中，该根据该参考序列集和该第二数据序列，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，包括：采用最小二乘法，根据该参考序列集和该第二数据序列，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
本申请实施例的预失真方法，能够估计出发送信号频谱中每个奈奎斯特区间的线性失真系数，实现对发送信号的每个奈奎斯特区间的数据进行线性补偿。
结合第一方面的第二种可能的实现方式，在第一方面的第三种可能的实现方式中，该线性失真系数用于对该发送信号进行线性补偿，包括：对该参考序列集进行线性补偿。
结合第一方面的第一种可能的实现方式，在第一方面的第四种可能的实现方式中，该方法还包括：提取该第一数据序列中该至少一个奈奎斯特区间中每个奈奎斯特区间的数据；对该至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得该参考序列集与采样获得该第二数据序列的采样率相同；其中，该线性失真系数用于对该发送信号进行线性补偿，包括：对该参考序列集进行线性补偿。
结合第一方面的第二种至第四种可能的实现方式中任一种可能的实现方式，在第一 方面的第五种可能的实现方式中，该方法还包括：根据该参考序列集与该至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，确定第一参考数据集，该第一参考数据集用于确定该发送信号的非线性失真系数。
在一些可能的实现方式中，该根据该参考序列集与该至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，确定第一参考数据集，包括：将该参考序列集与该至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数进行卷积，得到第一参考数据集。
结合第一方面的第五种可能的实现方式，在第一方面的第六种可能的实现方式中，该方法还包括：根据该第一参考数据集和该第二数据序列，确定该发送信号的非线性失真系数；根据该非线性失真系数，对该发送信号进行非线性补偿。
结合第一方面的第六种可能的实现方式，在第一方面的第七种可能的实现方式中，该根据该第一参考数据集和该第二数据序列，确定该发送信号的非线性失真系数，包括：将该第一参考数据集中的每个参考数据相加，得到第二参考数据；根据该第二参考数据和该第二数据序列，确定该发送信号的非线性失真系数。
本申请实施例的预失真的方法，可以有效地估计并补偿发送信号中至少一个奈奎斯特区间中每个奈奎斯特区间的线性失真，从而可以有效地估计并补偿发送信号的非线性失真。
第二方面，提供了一种预失真装置，该装置包括：收发器，用于发送第一序列，并保存该发送的第一序列；该收发器还用于接收反馈的第二序列，该第二序列为对该第一序列进行失真采样后的序列；处理器，用于对该保存的第一序列进行采样后，获得第三序列，其中，采样获得该第三序列的采样率与采样获得该第二序列的采样率相同；该处理器还用于根据该第二序列和该第三序列，确定发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数；其中，该线性失真系数用于对该发送信号进行线性补偿。
结合第二方面，在第二方面的第一种可能的实现方式中，该第一序列包括第一数据序列和第一前导序列集，该第一前导序列集中一个前导序列的频谱对应于一个奈奎斯特区间，该第二序列包括与该第一数据序列对应的第二数据序列和与该第一前导序列集对应的接收序列集，该处理器具体用于：对该第一序列的该第一前导序列集进行采样后，获得该第三序列的第二前导序列集，采样获得该第二前导序列集的采样率与采样获得该接收序列集的采样率相同；该处理器还用于：根据该接收序列集和该第二前导序列集，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
在一些可能的实现方式中，该处理器具体用于：采用最小二乘法，根据该接收序列集和该第二前导序列集，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
本申请实施例的预失真装置，通过前导序列的设计，能够准确得估计出发送信号频谱中每个奈奎斯特区间的线性失真系数，有效地对发送信号的每个奈奎斯特区间的数据进行线性补偿。
结合第二方面，在第二方面的第二种可能的实现方式中，该第一序列包括第一数据序列，该第二序列包括与该第一数据序列对应的第二数据序列，该处理器具体用于：提 取该第一数据序列中该至少一个奈奎斯特区间中每个奈奎斯特区间的数据；对该至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得该参考序列集的采样率与采样获得该第二数据序列的采样率相同；该处理器还用于根据该第二数据序列和该参考序列集，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
在一些可能的实现方式中，该处理器具体用于：采用最小二乘法，根据该第二数据序列和该参考序列集，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
本申请实施例的预失真装置，能够估计出发送信号频谱中每个奈奎斯特区间的线性失真系数，实现对发送信号的每个奈奎斯特区间的数据进行线性补偿。
结合第二方面的第二种可能的实现方式，在第二方面的第三种可能的实现方式中，该处理器具体用于：对该参考序列集进行线性补偿。
结合第二方面的第一种可能的实现方式，在第二方面的第四种可能的实现方式中，该处理器还用于提取该第一数据序列中该至少一个奈奎斯特区间中每个奈奎斯特区间的数据；对该至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行线性补偿，获得参考序列集，采样获得该参考序列集与采样获得该第二数据序列的采样率相同；该处理器具体用于：对该参考序列集进行线性补偿。
结合第二方面的第二种至第四种可能的实现方式中任一种可能的实现方式，在第二方面的第五种可能的实现方式中，该处理器还用于根据该参考序列集与该少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，确定第一参考数据集，该第一参考数据集用于确定该发送信号的非线性失真系数。
在一些可能的实现方式中，该处理器具体用于：将该参考序列集与该至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数进行卷积，得到第一参考数据集。
结合第二方面的第五种可能的实现方式，在第二方面的第六种可能的实现方式中，该处理器还用于根据该第一参考数据集和该第二数据序列，确定该发送信号的非线性失真系数；该处理器还用于根据该非线性失真系数，对该发送信号进行非线性补偿。
结合第二方面的第六种可能的实现方式，在第二方面的第七种可能的实现方式中，该处理器具体用于：将该第一参考数据集中的每个参考数据相加，得到第二参考数据；根据该第二参考数据和该第二数据序列，确定该发送信号的非线性失真系数。
本申请实施例的预失真的装置，可以有效地估计并补偿发送信号中至少一个奈奎斯特区间中每个奈奎斯特区间的线性失真，从而可以有效地估计并补偿发送信号的非线性失真。
第三方面，提供了一种预失真装置，该装置包括：收发模块，用于发送第一序列，并保存该发送的第一序列；该收发模块还用于接收反馈的第二序列，该第二序列为对该第一序列进行失真采样后的序列；处理模块，用于对该保存的第一序列进行采样后，获得第三序列，其中，采样获得该第三序列的采样率与采样获得该第二序列的采样率相同；该处理模块还用于根据该第二序列和该第三序列，确定发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数；其中，该线性失真系数用于对该发送信号进行线性补偿。
结合第三方面，在第三方面的第一种可能的实现方式中，该第一序列包括第一数据 序列和第一前导序列集，该第一前导序列集中一个前导序列的频谱对应于一个奈奎斯特区间，该第二序列包括与该第一数据序列对应的第二数据序列和与该第一前导序列集对应的接收序列集，该处理模块具体用于：对该第一序列的该第一前导序列集进行采样后，获得该第三序列的第二前导序列集，采样获得该第二前导序列集的采样率与采样获得该接收序列集的采样率相同；该处理模块还用于根据该接收序列集和该第二前导序列集，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
在一些可能的实现方式中，该处理模块具体用于：采用最小二乘法，根据该接收序列集和该第二前导序列集，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
本申请实施例的预失真装置，通过前导序列的设计，能够准确得估计出发送信号频谱中每个奈奎斯特区间的线性失真系数，有效地对发送信号的每个奈奎斯特区间的数据进行线性补偿。
结合第三方面，在第三方面的第二种可能的实现方式中，该第一序列包括第一数据序列，该第二序列包括与该第一数据序列对应的第二数据序列，该处理模块具体用于：提取该第一数据序列中该至少一个奈奎斯特区间中每个奈奎斯特区间的数据；对该至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得该参考序列集的采样率与采样获得该第二数据序列的采样率相同；该处理模块还用于根据该第二数据序列和该参考序列集，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
在一些可能的实现方式中，该处理模块具体用于：采用最小二乘法，根据该第二数据序列和该参考序列集，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
本申请实施例的预失真装置，能够估计出发送信号频谱中每个奈奎斯特区间的线性失真系数，实现对发送信号的每个奈奎斯特区间的数据进行线性补偿。
结合第三方面的第二种可能的实现方式，在第三方面的第三种可能的实现方式中，该处理模块具体用于：对该参考序列集进行线性补偿。
结合第三方面的第一种可能的实现方式，在第三方面的第四种可能的实现方式中，该处理模块还用于提取该第一数据序列中该至少一个奈奎斯特区间中每个奈奎斯特区间的数据；对该至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得该参考序列集与采样获得该第二数据序列的采样率相同；该处理模块具体用于：对该参考序列集进行线性补偿。
结合第三方面的第二种至第四种可能的实现方式中任一种可能的实现方式，在第三方面的第五种可能的实现方式中，该处理模块还用于根据该参考序列集与该少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，确定第一参考数据集，该第一参考数据集用于确定该发送信号的非线性失真系数。
在一些可能的实现方式中，该处理模块具体用于：将该参考序列集与该至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数进行卷积，得到第一参考数据集。
结合第三方面的第五种可能的实现方式，在第三方面的第六种可能的实现方式中，该处理模块还用于根据该第一参考数据集和该第二数据序列，确定该发送信号的非线性 失真系数；该处理模块还用于根据该非线性失真系数，对该发送信号进行非线性补偿。
结合第三方面的第六种可能的实现方式，在第三方面的第七种可能的实现方式中，该处理模块具体用于：将该第一参考数据集中的每个参考数据相加，得到第二参考数据；根据该第二参考数据和该第二数据序列，确定该发送信号的非线性失真系数。
本申请实施例的预失真的装置，可以有效地估计并补偿发送信号中至少一个奈奎斯特区间中每个奈奎斯特区间的线性失真，从而可以有效地估计并补偿发送信号的非线性失真。
第四方面，提供了一种预失真系统，该预失真系统包括发送端和接收端，其中，该发送端包括上述第二方面及第二方面任一种可能的实现方式中的装置；或该发送端包括上述第三方面及第三方面任一种可能的实现方式中的装置。
第五方面，提供了一种计算机可读存储介质，所述计算机可读存储介质中存储有指令，当其在计算机上运行时，使得计算机执行上述各个方面的所述的方法。
附图说明
图1是本申请实施例的技术方案的一种应用场景的示意图。
图2是根据本申请实施例的预失真方法的示意性流程图。
图3是根据本申请实施例的发送信号和接收信号的数据结构的示意性框图。
图4是根据本申请实施例的发送信号和接收信号的数据结构的另一示意性框图。
图5是根据本申请实施例的预失真方法的算法流程图。
图6是根据本申请实施例的预失真方法的另一算法流程图。
图7是根据本申请实施例的预失真装置的示意性框图。
图8是根据本申请实施例的预失真装置的另一示意性框图。
图9是根据本申请实施例的预失真系统的示意性框图。
图10是根据本申请实施例的预失真系统的另一示意性框图。
具体实施方式
下面将结合附图，对本申请实施例中的技术方案进行描述。
本申请实施例适用于各种需要对输入信号进行线性和非线性补偿的通信系统，图1示出了本申请实施例的技术方案的一种应用场景的示意图，如图1所示，预失真模块和功放模块合成的效果可以抵消功放的线性和非线性特性，从而达到补偿的效果。
图2示出了根据本申请实施例的预失真方法的示意性流程图，如图2所示，该方法100包括：
S110，发送第一序列，并保存该发送的第一序列；
S120，接收反馈的第二序列，该第二序列为对该第一序列进行失真采样后的序列。
应理解，上述预失真方法的执行主体可以为发送端，也可以为发送端的一部分，例如，可以为图1中的预失真模块。
具体而言，发送端发送第一序列并保存该第一序列后，接收反馈的第二序列，该第二序列为对该第一序列进行失真采样后的序列，该第二序列包括线性失真和非线性失真该发送端通过该反馈的第二序列确定线性失真系数和非线性失真系数，并对该发送端的发送信号进行线性补偿，或者，在进行线性补偿后进一步对该发送信号进行非线性补偿。 例如，降采样率DPD技术中，该发送端的预失真模块首先发送第一序列，该第一序列经过数模转换器DAC后变成模拟信号，经过功率放大器后发送到远端(接收端)。为了对发送端的发送信号进行线性补偿及非线性补偿，需要将功率放大器输出的模拟信号进行回采，该模拟信号经过发送端的降采样率模数转换器ADC后，获得第二序列，该数模转换器ADC将获得的第二序列反馈给该预失真模块，该第二序列中包括了线性失真和非线性失真。
应理解，采样获得该第二序列的采样率是发送端或者发送端中的预失真模块的硬件参数决定的，发送端或发送端的预失真模块可以预先知道该硬件参数。
可选地，该第一序列包括第一数据序列和第一前导序列集，该第二序列包括与该第一数据序列对应的第二数据序列和与该第一前导序列集对应的接收序列集。
例如，图3示出了根据本申请实施例的发送信号和接收信号的数据结构的示意性框图，如图3所示，该发送信号包括第一数据序列TX_DPD和第一前导序列集T_P1、T_P2和T_P3，该发送信号TX的频谱跨越了三个奈奎斯特区间，分别为第一奈奎斯特区间、第二奈奎斯特区间和第三奈奎斯特区间，所示分别设计了三段前导序列，三段前导序列的频谱分别只占据对应的第一、第二和第三奈奎斯特区间的频谱，该第一数据序列TX_DPD是被选取为估计DPD系数的正常数据序列，发送端接收反馈的接收信号，该接收信号包括第二序列，该第二序列包括第二数据序列RX_DPD和接收序列集R_P1、R_P2和R_P3。
应理解，该R_P1中包括第一奈奎斯特区间中的线性失真和非线性失真，该R_P2中包括第二奈奎斯特区间中的线性失真和非线性失真，该R_P3中包括第三奈奎斯特区间中的线性失真和非线性失真。
可选地，该第一序列包括第一数据序列，该第二序列包括与该第一数据序列对应的第二数据序列。
应理解，图3中的DATA表示正常传输的数据，此处因为选取了TX_DPD的位置，所以有了图3所示的数据结构，实际中在TX_DPD之前还有正常输出的数据。
还应理解，上述发送信号的频谱跨越了三个奈奎斯特区间仅仅是一种情况，也可以分为四个或者五个奈奎斯特区间，还可以分为其他数量的奈奎斯特区间，本申请并不限于此。
还应理解，若该发送信号的频谱分为四个奈奎斯特区间，则可以分别设计四段前导序列。该四段前导序列分别占据对应的奈奎斯特区间，本申请并不限于此。
例如，图4示出了根据本申请实施例的发送信号和接收信号的数据结构的另一示意性框图，如图4所示，该发送信号包括第一数据序列TX_DPD，该发送信号的频谱跨越了三个奈奎斯特区间，分别为第一奈奎斯特区间、第二奈奎斯特区间和第三奈奎斯特区间，该第一数据序列TX_DPD是被选取为估计DPD系数的正常数据序列，该发送端通过提取该第一数据序列TX_DPD中该至少一个奈奎斯特区间中每个奈奎斯特区间的数据，得到第一奈奎斯特区间数据、第二奈奎斯特区间数据和第三奈奎斯特区间数据，该发送端接收反馈的接收信号，该接收信号包括第二序列，该第二序列包括第二数据序列RX_DPD。
应理解，图4中的DATA表示正常传输的数据，此处因为选取了TX_DPD的位置，所以有了图4所示的数据结构，实际中在TX_DPD之前还有正常输出的数据。
还应理解，上述发送信号的频谱跨越了三个奈奎斯特区间仅仅是一种情况，也可以分为四个或者五个奈奎斯特区间，还可以分为其他数量的奈奎斯特区间，本申请并不限于此。
S130，对该保存的第一序列进行采样后，获得第三序列，其中，采样获得该第三序列的采样率与采样获得该第二序列的采样率相同。
应理解，若该发送端预先获得该第二序列的采样率信息，则直接对该保存的第一序列进行采样，获得第三序列，采样获得该第三序列的采样率和采样获得该第二序列的采样率相同。
还应理解，S120中接收反馈的第二序列和S130中对该保存的第一序列进行采样获得第三序列并没有先后顺序，发送端可以预先获得该第二序列的采样率，在发送第一序列后就对保存的第一序列进行采样获得第三序列，还可以在接收反馈的第二序列后再对保存的第一序列进行采样获得第三序列。
例如，降采样率DPD技术中，预失真模块预先获得降采样率模数转换器ADC的采样率信息，该预失真模块对该保存的第一序列进行采样，获得第三序列，采样获得第三序列的采样率与降采样率模数转换器ADC采样获得第二序列的采样率相同。
可选地，该第一序列包括第一数据序列和第一前导序列集，该第一前导序列集中每个前导序列的频谱对应于该至少一个奈奎斯特区间中的每个奈奎斯特区间，该第二序列包括与该第一数据序列对应的第二数据序列和与该第一前导序列集对应的接收序列集，
其中，该对该保存的第一序列进行采样后，获得第三序列，包括：对该第一序列的该第一前导序列集进行采样后，获得该第三序列的第二前导序列集，采样获得该第二前导序列集与采样获得该接收序列集的采样率相同。
具体而言，发送端对该保存的第一序列的第一前导序列集进行采样后，获得该第三序列的第二前导序列集，采样获得该第二前导序列集与采样获得该接收序列集的采样率相同，下面以发送信号的频谱分别三个奈奎斯特区间，设计三段前导序列T_P1、T_P2和T_P3，该第一前导序列集的采样率为3GHz，该接收序列集的采样率为1GHz的情况进行说明。
该发送端对该保存的该第一序列的该第一前导序列集进行采样后，获得该第三序列的第二前导序列集，采样获得该第二前导序列集与采样获得该接收序列集的采样率相同，具体可以由以下步骤实现：
该发送端分别抽取T_P1、T_P2和T_P3数据，每三个点抽出一个采样点，使得抽取后数据采样率从3GHz变为1GHz，得到第二前导序列集T_P1_d、T_P2_d和T_P3_d，该第二前导序列集与该接收序列集R_P1、R_P2和R_P3具有相同的采样率。
应理解，上述方法仅仅是通过每三个点抽取一个采样点的方法使得获得的第二前导序列集的采样率与采样获得的该接收序列集的采样率相同，还可以通过其他方式来使得采样获得的第二前导序列集的采样率与采样获得第二序列的接收序列集的采样率相同，只要是可以将该第一前导序列集的采样率改变为和采样获得该接收序列集的采样率相同的方式均在本申请的保护范围之内。
可选地，该第一序列包括第一数据序列，该第二序列包括与该第一数据序列对应的第二数据序列，
其中，该对该保存的该第一序列进行采样后，获得第三序列，包括：
提取该第一数据序列中该至少一个奈奎斯特区间中每个奈奎斯特区间的数据；
对该至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得该参考序列集与采样获得该第二数据序列的采样率相同；
具体而言，发送端首先提取出该第一数据序列中每个奈奎斯特区间的数据，并对该每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得该参考序列集与采样获得该第二序列中的该第二数据序列的采样率相同，下面以发送信号的频谱分别三个奈奎斯特区间，该至少一个奈奎斯特区间中每个奈奎斯特区间的数据的采样率为3GHz，该第二数据序列的采样率为1GHz的情况进行说明。
该发送端对该至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得该参考序列集与采样获得该第二数据序列的采样率相同。具体可以由以下步骤实现：
发送端将TX_DPD数据经过数字带通滤波器，提取出第一奈奎斯特区间的数据，对该第一奈奎斯特区间的数据进行采样(三倍抽取)，得到与RX_DPD相同采样率的数据。
应理解，上述方法仅仅是通过三倍抽取的方法改变第一数据序列的采样率，还可以通过其他方式来改变其采样率使得与该第二数据序列的采样率相同，只要是可以将该第一数据序列的采样率改变为和该第二数据序列的采样率相同的方式均在本申请的保护范围之内。
S140，根据该第二序列和该第三序列，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，其中，该线性失真系数用于对该发送信号进行线性补偿。
可选地，若该第一序列包括第一数据序列和第一前导序列集，该第二序列包括与该第一数据序列对应的第二数据序列和与该第一前导序集列对应的接收序列集，该发送端根据该第二序列和该第三序列，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，包括：
该发送端根据该接收序列集和该第二前导序列集，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
应理解，上述通过T_P1_d和R_P1确定第一奈奎斯特区间的线性失真系数可以通过LS方法确定，本申请并不限于此。
本申请实施例的预失真方法，通过前导序列的设计，能够准确得估计出发送信号频谱中每个奈奎斯特区间的线性失真系数，有效地对发送信号的每个奈奎斯特区间的数据进行线性补偿。
可选地，若该第一序列包括第一数据序列，该发送端根据该第二序列和该第三序列，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，包括：
该发送端根据该第二数据序列和该参考序列集，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
应理解，上述通过第一奈奎斯特区间数据和RX_DPD确定第一奈奎斯特区间的线性失真系数可以通过LS方法确定，本申请并不限于此。
本申请实施例的预失真方法，能够估计出发送信号频谱中每个奈奎斯特区间的线性失真系数，实现对发送信号的每个奈奎斯特区间的数据进行线性补偿。
可选地，若该第一序列包括第一前导序列集和第一数据序列集，该方法还包括：
提取该第一数据序列中该至少一个奈奎斯特区间中每个奈奎斯特区间的数据；
对该至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得该参考序列集的采样率与采样获得该第二数据序列的采样率相同；
其中，该线性失真系数用于对该发送信号进行线性补偿，包括：对该参考序列集进行线性补偿。
可选地，若该第一序列包括第一数据序列，直接将估计出的每个奈奎斯特区间的线性失真系数补偿参考序列集。
可选地，该预失真的方法还包括：根据该参考序列集与该至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，确定第一参考数据集，该第一参考数据集用于确定该发送信号的非线性失真系数。
应理解，该根据该参考序列集与该至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，确定第一参考数据集，包括：将该参考序列集与该至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数进行卷积，得到第一参考数据集，本申请并不限于此。
可选地，该方法还包括：
根据该第一参考数据集和该第二数据序列，确定该发送信号的非线性失真系数；
根据该非线性失真系数，对该发送信号进行非线性补偿。
可选地，该根据该第一参考数据集和该第二数据序列，确定该发送信号的非线性失真系数，包括：
将该第一参考数据集中的每个参考数据相加，得到第二参考数据；
根据该第二参考数据和该第二数据序列，确定该发送信号的非线性失真系数。
图5示出了根据本申请实施例的预失真的算法流程图，如图5所示，发送端通过第一前导序列集T_P1、T_P2和T_P3得到第二前导序列集T_P1_d、T_P2_d和T_P3_d后，该发送端根据该第二前导序列集T_P1_d、T_P2_d和T_P3_d和该接收序列集R_P1、R_P2和R_P3，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，其中，通过T_P1_d和R_P1确定第一奈奎斯特区间的线性失真系数Fir1；通过T_P2_d和R_P2确定第二奈奎斯特区间的线性失真系数Fir2；通过T_P3_d和R_P3确定第三奈奎斯特区间的线性失真系数Fir3。该发送端在估计出至少一个奈奎斯特区间中每个奈奎斯特区间的线性失真系数后，还要提取第一数据序列中至少一个奈奎斯特区间中每个奈奎斯特区间的数据，并对该每个奈奎斯特区间的数据进行采样后，获得参考序列集，该发送端将估计出的每个奈奎斯特区间的线性失真系数Fir1、Fir2和Fir3补偿参考序列集。该发送端根据该参考序列集与该至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，确定第一参考数据集Ref_DPD，该发送端根据该第一参考数据集Ref_DPD和该第二数据序列RX_DPD，确定该发送信号的非线性失真系数，该发送端根据该非线性失真系数，对该发送信号进行非线性补偿。
图6示出了根据本申请实施例的预失真的另一算法流程图，如图6所示，发送端提取第一数据序列TX_DPD中至少一个奈奎斯特区间中每个奈奎斯特区间的数据，并对该每个奈奎斯特区间的数据进行采样后，获得参考序列集，该发送端根据该参考序列集和第二数据序列RX_DPD，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯 特区间对应的线性失真系数，其中，对第一奈奎斯特区间数据进行采样后和RX_DPD确定第一奈奎斯特区间的线性失真系数Fir1；对第二奈奎斯特区间数据进行采样后和RX_DPD确定第二奈奎斯特区间的线性失真系数Fir2；对第三奈奎斯特区间数据进行采样后和RX_DPD确定第三奈奎斯特区间的线性失真系数Fir3。该发送端在估计出至少一个奈奎斯特区间中每个奈奎斯特区间的线性失真系数后，该发送端将估计出的每个奈奎斯特区间的线性失真系数Fir1、Fir2和Fir3补偿该参考序列集。该发送端根据该参考序列集与该至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，确定第一参考数据集Ref_DPD，该发送端根据该第一参考数据集Ref_DPD和该第二数据序列RX-_DPD，确定该发送信号的非线性失真系数，该发送端根据该非线性失真系数，对该发送信号进行非线性补偿。
本申请实施例的预失真的方法，可以有效地估计并补偿发送信号中至少一个奈奎斯特区间中每个奈奎斯特区间的线性失真，从而可以有效地估计并补偿发送信号的非线性失真。
上文结合图2至图6，详细描述了根据本申请实施例的预失真方法，下面结合图7至图10，详细描述本申请实施例的预失真装置和系统。
图7示出了根据本申请实施例的预失真装置200的示意性框图，如图7所示，该装置200包括：
收发器210，用于发送第一序列，并保存该发送的第一序列；
收发器210还用于接收反馈的第二序列，该第二序列为对该第一序列进行失真采样后的序列；
处理器220，用于对该保存的第一序列进行采样后，获得第三序列，其中，采样获得该第三序列的采样率与采样获得该第二序列的采样率相同；
该处理器220还用于根据该第二序列和该第三序列，确定发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数；
其中，该线性失真系数用于对该发送信号进行线性补偿。
应理解，上述预失真装置可以对应于图1中的预失真模块，也可以对应于DPD技术中的发送端的一部分或整体，发送端的收发器210发送第一序列，保存该发送的第一序列，接收反馈的第二序列，该第二序列为对该第一序列进行失真采样后的序列，发送端的处理器220对该保存的第一序列进行采样后，获得第三序列，采样获得该第三序列的采样率与采样获得该第二序列的采样率相同，发送端的处理器220根据该第二序列和该第三序列，计算出至少一个奈奎斯特区间中每个奈奎斯特区间的线性失真系数，并通过发送端的处理器对发送信号进行线性和非线性补偿，从而达到补偿的效果。
本申请实施例的预失真装置，可以有效地估计并补偿线性失真，有助于避免对后续非线性失真的估计和补偿造成影响。
可选地，该第一序列包括第一数据序列和第一前导序列集，该第一前导序列集中一个前导序列的频谱对应于一个奈奎斯特区间，该第二序列包括与该第一数据序列对应的第二数据序列和与该第一前导序列集对应的接收序列集，
该处理器220具体用于：对该第一序列的该第一前导序列集进行采样后，获得该第三序列的第二前导序列集，采样获得该第二前导序列集的采样率与采样获得该接收序列集的采样率相同；
该处理器220还用于：根据该接收序列集和该第二前导序列集，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
本申请实施例的预失真装置，通过前导序列的设计，能够准确得估计出发送信号频谱中每个奈奎斯特区间的线性失真系数，有效地对发送信号的每个奈奎斯特区间的数据进行线性补偿。
可选地，该第一序列包括第一数据序列，该第二序列包括与该第一数据序列对应的第二数据序列，
该处理器220具体用于：提取该第一数据序列中该至少一个奈奎斯特区间中每个奈奎斯特区间的数据；
对该至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得该参考序列集的采样率与采样获得该第二数据序列的采样率相同；
该处理器220还用于根据该第二数据序列和该参考序列集，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
本申请实施例的预失真装置，能够估计出发送信号频谱中每个奈奎斯特区间的线性失真系数，实现对数据序列的每个奈奎斯特区间的数据进行线性补偿。
可选地，该处理器220具体用于：对该参考序列集进行线性补偿。
可选地，该处理器220还用于提取该第一数据序列中该至少一个奈奎斯特区间中每个奈奎斯特区间的数据；
对该至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得该参考序列集的采样率与采样获得该第二数据序列的采样率相同；
该处理器220具体用于：对该参考序列集进行线性补偿。
可选地，该处理器220还用于根据该参考序列集与该少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，确定第一参考数据集，该第一参考数据集用于确定该发送信号的非线性失真系数。
可选地，该处理器220还用于根据该第一参考数据集和该第二数据序列，确定该发送信号的非线性失真系数；
该处理器220还用于根据该非线性失真系数，对该发送信号进行非线性补偿。
可选到，该处理器220具体用于：将该第一参考数据集中的每个参考数据相加，得到第二参考数据；
根据该第二参考数据和该第二数据序列，确定该发送信号的非线性失真系数。
本申请实施例的预失真的装置，可以有效地估计并补偿发送信号中至少一个奈奎斯特区间中每个奈奎斯特区间的线性失真，从而可以有效地估计并补偿发送信号的非线性失真。
图8示出了根据本申请实施例的预失真装置300的示意性框图，如图8所示，该装置300包括：
收发模块310，用于发送第一序列，并保存该发送的第一序列；
收发模块310还用于接收反馈的第二序列，该第二序列为对该第一序列进行失真采样后的序列；
处理模块320，用于对该保存的该第一序列进行采样后，获得第三序列，采样获得该第三序列的采样率与采样获得该第二序列的采样率相同；
该处理模块320还用于根据该第二序列和该第三序列，确定发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数；
其中，该线性失真系数用于对该发送信号进行线性补偿。
应理解，上述预失真装置可以对应于图1中的预失真模块，也可以对应于DPD技术中的发送端的一部分或整体，发送端的收发模块310发送第一序列，保存该发送的第一序列，接收反馈的第二序列，该第二序列为对该第一序列进行失真采样后的序列，发送端的处理模块320对该保存的第一序列进行采样后，获得第三序列，采样获得该第三序列的采样率与采样获得该第二序列的采样率相同，发送端的处理模块320根据该第二序列和该第三序列，计算出至少一个奈奎斯特区间中每个奈奎斯特区间的线性失真系数，并通过发送端的处理器对发送信号进行线性和非线性补偿，从而达到补偿的效果。
本申请实施例的预失真装置，可以有效地估计并补偿线性失真，有助于避免对后续非线性失真的估计和补偿造成影响。
可选地，该第一序列包括第一数据序列和第一前导序列集，该第一前导序列集中一个前导序列的频谱对应于一个奈奎斯特区间，该第二序列包括与该第一数据序列对应的第二数据序列和与该第一前导序列集对应的接收序列集，
该处理模块320具体用于：对该第一序列的该第一前导序列集进行采样后，获得该第三序列的第二前导序列集，采样获得该第二前导序列集的采样率与采样获得该接收序列集的采样率相同；
该处理模块320还用于：根据该接收序列集和该第二前导序列集，确定发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
本申请实施例的预失真装置，通过前导序列的设计，能够准确得估计出发送信号频谱中每个奈奎斯特区间的线性失真系数，有效地对数据序列的每个奈奎斯特区间的数据进行线性补偿。
可选地，该第一序列包括第一数据序列，该第二序列包括与该第一数据序列对应的第二数据序列，
该处理模块320具体用于：提取该第一数据序列中该至少一个奈奎斯特区间中每个奈奎斯特区间的数据；
对该至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得该参考序列集的采样率与采样获得该第二数据序列的采样率相同；
该处理模块320还用于根据该第二数据序列和该参考序列集，确定该发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
本申请实施例的预失真装置，能够估计出发送信号频谱中每个奈奎斯特区间的线性失真系数，实现对数据序列的每个奈奎斯特区间的数据进行线性补偿。
可选地，该处理模块320具体用于：对该参考序列集进行线性补偿。
可选地，该处理模块320还用于提取该第一数据序列中该至少一个奈奎斯特区间中每个奈奎斯特区间的数据；
对该至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得该参考序列集的采样率与采样获得该第二数据序列的采样率相同；
该处理模块320具体用于：对该参考序列集进行线性补偿。
可选地，该处理模块320还用于根据该参考序列集与该少一个奈奎斯特区间中每个 奈奎斯特区间对应的线性失真系数，确定第一参考数据集，该第一参考数据集用于确定该发送信号的非线性失真系数。
可选地，该处理模块320还用于根据该第一参考数据集和该第二数据序列，确定该发送信号的非线性失真系数；
该处理模块320还用于根据该非线性失真系数，对该发送信号进行非线性补偿。
可选地，该处理模块320具体用于：将该第一参考数据集中的每个参考数据相加，得到第二参考数据；
根据该第二参考数据和该第二数据序列，确定该发送信号的非线性失真系数。
本申请实施例的预失真的装置，可以有效地估计并补偿发送信号中至少一个奈奎斯特区间中每个奈奎斯特区间的线性失真，从而可以有效地估计并补偿发送信号的非线性失真。
图9示出了根据本申请实施例的预失真系统400的示意性框图，如图9所示，该预失真系统包括发送端410和接收端420，其中，该发送端410包括预失真模块411、数模转换器412，功率放大器413、模数转换器414，其中，该预失真模块发送第一序列，并保存该发送的第一序列，该第一序列经过数模转换器412得到模拟信号，该模拟信号经过功率放大器413发送给接收端420，经过功率放大器413后该模拟信号会产生线性失真和非线性失真；同时该模拟信号经过功率放大器413后还可以经过一个耦合器，将放大后的模拟信号经过模数转换器414采样后得到第二序列，该第二序列包括线性失真和非线性失真，该模数转换器414将输出的第二序列发送给预失真模块411，该预失真模块411对保存的第一序列进行采样后，得到第三序列，采样获得第三序列的采样率与采样获得第二序列的采样率相同，该预失真模块411根据该第二序列和该第三序列，确定发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间的线性失真系数，并根据该线性失真系数对该发送信号进行线性补偿和非线性补偿。
应理解，该预失真模块411可以是方法100的执行主体，可以对应于上述装置200，即可以包括上述装置200中的收发器210和处理器220，还可以对应于上述装置300，即可以包括上述装置300中的收发器310和处理器320。
图10示出了根据本申请实施例的预失真系统500的示意性框图，如图10所示，该发送端510可以对应于上述装置200或装置300的预失真装置，也可以对应于上述系统400中的预失真模块411，该收发器411对应于装置200的收发器210，也可以对应于装置300的收发模块310；该处理器412可以对应于装置200的处理器220，也可以对应于装置300的处理模块320，接收端420接收信号并向发送端进行反馈。
在本申请实施例中，处理器可以是中央处理器(Central Processing Unit，CPU)，网络处理器(Network Processor，NP)或者CPU和NP的组合。处理器还可以进一步包括硬件芯片。上述硬件芯片可以是专用集成电路(Application-Specific Integrated Circuit，ASIC)，可编程逻辑器件(Programmable Logic Device，PLD)或其组合。上述PLD可以是复杂可编程逻辑器件(Complex Programmable Logic Device，CPLD)，现场可编程逻辑门阵列(Field-Programmable Gate Array，FPGA)，通用阵列逻辑(Generic Array Logic，GAL)或其任意组合。
该存储器可以是易失性存储器或非易失性存储器，或可包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(Read-Only Memory，ROM)、可编 程只读存储器(Programmable ROM，PROM)、可擦除可编程只读存储器(Erasable PROM，EPROM)、电可擦除可编程只读存储器(Electrically EPROM，EEPROM)或闪存。易失性存储器可以是随机存取存储器(Random Access Memory，RAM)，其用作外部高速缓存。
上述实施例中，可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。当使用软件实现时，可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品可以包括一个或多个计算机指令。在计算机上加载和执行所述计算机程序指令时，全部或部分地产生按照本申请实施例所述的流程或功能。所述计算机可以是通用计算机、专用计算机、计算机网络或者其他可编程装置。所述计算机指令可以存储在计算机可读存储介质中，或者从一个计算机可读存储介质向另一个计算机可读存储介质传输，例如，所述计算机指令可以从一个网站站点、计算机、服务器或数据中心通过有线(例如同轴电缆、光纤、数字用户(DSL))或无线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是包含一个或多个可用介质集成的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质(例如，软盘、硬盘、磁盘)、光介质(例如，DVD)、或者半导体介质(例如固态硬盘Solid State Disk(SSD))等。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统、装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统、装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例所述方法的全部或部 分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器、随机存取存储器、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，仅为本申请的具体实施方式，但本申请的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应所述以权利要求的保护范围为准。

Claims (25)

  1. 一种预失真方法，其特征在于，包括：
    发送第一序列，并保存所述发送的第一序列；
    接收反馈的第二序列，所述第二序列为对所述第一序列进行失真采样后的序列；
    对所述保存的第一序列进行采样后，获得第三序列，其中，采样获得所述第三序列的采样率与采样获得所述第二序列的采样率相同；
    根据所述第二序列和所述第三序列，确定发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数；
    其中，所述线性失真系数用于对所述发送信号进行线性补偿。
  2. 根据权利要求1所述的方法，其特征在于，所述第一序列包括第一数据序列和第一前导序列集，所述第一前导序列集中一个前导序列的频谱对应于一个奈奎斯特区间，所述第二序列包括与所述第一数据序列对应的第二数据序列和与所述第一前导序列集对应的接收序列集，
    其中，所述对所述保存的第一序列进行采样后，获得第三序列，包括：
    对所述第一序列的所述第一前导序列集进行采样后，获得所述第三序列的第二前导序列集，采样获得所述第二前导序列集的采样率与采样获得所述接收序列集的采样率相同；
    其中，所述根据所述第二序列和所述第三序列，确定发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，包括：
    根据所述接收序列集和所述第二前导序列集，确定所述发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
  3. 根据权利要求1所述的方法，其特征在于，所述第一序列包括第一数据序列，所述第二序列包括与所述第一数据序列对应的第二数据序列，
    其中，所述对所述保存的第一序列进行采样后，获得第三序列，包括：
    提取所述第一数据序列中所述至少一个奈奎斯特区间中每个奈奎斯特区间的数据；
    对所述至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得所述参考序列集的采样率与采样获得所述第二数据序列的采样率相同；
    其中，所述根据所述第二序列和所述第三序列，确定发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，包括：
    根据所述第二数据序列和所述参考序列集，确定所述发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
  4. 根据权利要求3所述的方法，其特征在于，所述线性失真系数用于对所述发送信号进行线性补偿，包括：对所述参考序列集进行线性补偿。
  5. 根据权利要求2所述的方法，其特征在于，所述方法还包括：
    提取所述第一数据序列中所述至少一个奈奎斯特区间中每个奈奎斯特区间的数据；
    对所述至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得所述参考序列集与采样获得所述第二数据序列的采样率相同；
    其中，所述线性失真系数用于对所述发送信号进行线性补偿，包括：对所述参考序列集进行线性补偿。
  6. 根据权利要求3至5中任一项所述的方法，其特征在于，所述方法还包括：
    根据所述参考序列集与所述至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，确定第一参考数据集，所述第一参考数据集用于确定所述发送信号的非线性失真系数。
  7. 根据权利要求6所述的方法，其特征在于，所述方法还包括：
    根据所述第一参考数据集和所述第二数据序列，确定所述发送信号的非线性失真系数；
    根据所述非线性失真系数，对所述发送信号进行非线性补偿。
  8. 根据权利要求7所述的方法，其特征在于，所述根据所述第一参考数据集和所述第二数据序列，确定所述发送信号的非线性失真系数，包括：
    将所述第一参考数据集中的每个参考数据相加，得到第二参考数据；
    根据所述第二参考数据和所述第二数据序列，确定所述发送信号的非线性失真系数。
  9. 一种预失真装置，其特征在于，包括：
    收发器，用于发送第一序列，并保存所述发送的第一序列；
    所述收发器还用于接收反馈的第二序列，所述第二序列为对所述第一序列进行失真采样后的序列；
    处理器，用于对所述保存的第一序列进行采样后，获得第三序列，其中，采样获得所述第三序列的采样率与采样获得所述第二序列的采样率相同；
    所述处理器还用于根据所述第二序列和所述第三序列，确定发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数；
    其中，所述线性失真系数用于对所述发送信号进行线性补偿。
  10. 根据权利要求9所述的装置，其特征在于，所述第一序列包括第一数据序列和第一前导序列集，所述第一前导序列集中一个前导序列的频谱对应于一个奈奎斯特区间，所述第二序列包括与所述第一数据序列对应的第二数据序列和与所述第一前导序列集对应的接收序列集，
    所述处理器具体用于：对所述第一序列的所述第一前导序列集进行采样后，获得所述第三序列的第二前导序列集，采样获得所述第二前导序列集的采样率与采样获得所述接收序列集的采样率相同；
    所述处理器还用于：根据所述接收序列集和所述第二前导序列集，确定所述发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
  11. 根据权利要求9所述的装置，其特征在于，所述第一序列包括第一数据序列，所述第二序列包括与所述第一数据序列对应的第二数据序列，
    所述处理器具体用于：提取所述第一数据序列中所述至少一个奈奎斯特区间中每个奈奎斯特区间的数据；
    对所述至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得所述参考序列集的采样率与采样获得所述第二数据序列的采样率相同；
    所述处理器还用于根据所述第二数据序列和所述参考序列集，确定所述发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
  12. 根据权利要求11所述的装置，其特征在于，所述处理器具体用于：对所述参考序列集进行线性补偿。
  13. 根据权利要求10所述的装置，其特征在于，所述处理器还用于提取所述第一数 据序列中所述至少一个奈奎斯特区间中每个奈奎斯特区间的数据；
    对所述至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行线性补偿，获得参考序列集，采样获得所述参考序列集与采样获得所述第二数据序列的采样率相同；
    所述处理器具体用于：对所述参考序列集进行线性补偿。
  14. 根据权利要求11至13中任一项所述的装置，其特征在于，所述处理器还用于根据所述参考序列集与所述少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，确定第一参考数据集，所述第一参考数据集用于确定所述发送信号的非线性失真系数。
  15. 根据权利要求14所述的装置，其特征在于，所述处理器还用于根据所述第一参考数据集和所述第二数据序列，确定所述发送信号的非线性失真系数；
    所述处理器还用于根据所述非线性失真系数，对所述发送信号进行非线性补偿。
  16. 根据权利要求15所述的装置，其特征在于，所述处理器具体用于：将所述第一参考数据集中的每个参考数据相加，得到第二参考数据；
    根据所述第二参考数据和所述第二数据序列，确定所述发送信号的非线性失真系数。
  17. 一种预失真装置，其特征在于，包括：
    收发模块，用于发送第一序列，并保存所述发送的第一序列；
    所述收发模块还用于接收反馈的第二序列，所述第二序列为对所述第一序列进行失真采样后的序列；
    处理模块，用于对所述保存的第一序列进行采样后，获得第三序列，其中，采样获得所述第三序列的采样率与采样获得所述第二序列的采样率相同；
    所述处理模块还用于根据所述第二序列和所述第三序列，确定发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数；
    其中，所述线性失真系数用于对所述发送信号进行线性补偿。
  18. 根据权利要求17所述的装置，其特征在于，所述第一序列包括第一数据序列和第一前导序列集，所述第一前导序列集中一个前导序列的频谱对应于一个奈奎斯特区间，所述第二序列包括与所述第一数据序列对应的第二数据序列和与所述第一前导序列集对应的接收序列集，
    所述处理模块具体用于：对所述第一序列的所述第一前导序列集进行采样后，获得所述第三序列的第二前导序列集，采样获得所述第二前导序列集的采样率与采样获得所述接收序列集的采样率相同；
    所述处理模块还用于根据所述接收序列集和所述第二前导序列集，确定所述发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
  19. 根据权利要求17所述的装置，其特征在于，所述第一序列包括第一数据序列，所述第二序列包括与所述第一数据序列对应的第二数据序列，
    所述处理模块具体用于：提取所述第一数据序列中所述至少一个奈奎斯特区间中每个奈奎斯特区间的数据；
    对所述至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得所述参考序列集的采样率与采样获得所述第二数据序列的采样率相同；
    所述处理模块还用于根据所述参考序列集和所述第二数据序列，确定所述发送信号的频谱中至少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数。
  20. 根据权利要求19所述的装置，其特征在于，所述处理模块具体用于：对所述参考序列集进行线性补偿。
  21. 根据权利要求18所述的装置，其特征在于，所述处理模块还用于提取所述第一数据序列中所述至少一个奈奎斯特区间中每个奈奎斯特区间的数据；
    对所述至少一个奈奎斯特区间中每个奈奎斯特区间的数据进行采样后，获得参考序列集，采样获得所述参考序列集与采样获得所述第二数据序列的采样率相同；
    所述处理模块具体用于：对所述参考序列集进行线性补偿。
  22. 根据权利要求19至21中任一项所述的装置，其特征在于，所述处理模块还用于根据所述参考序列集与所述少一个奈奎斯特区间中每个奈奎斯特区间对应的线性失真系数，确定第一参考数据集，所述第一参考数据集用于确定所述发送信号的非线性失真系数。
  23. 根据权利要求22所述的装置，其特征在于，所述处理模块还用于根据所述第一参考数据集和所述第二数据序列，确定所述发送信号的非线性失真系数；
    所述处理模块还用于根据所述非线性失真系数，对所述发送信号进行非线性补偿。
  24. 根据权利要求23所述的装置，其特征在于，所述处理模块具体用于：将所述第一参考数据集中的每个参考数据相加，得到第二参考数据；
    根据所述第二参考数据和所述第二数据序列，确定所述发送信号的非线性失真系数。
  25. 一种预失真系统，其特征在于，包括发送端和接收端，其中，所述发送端包括上述权利要求9-16中任一种所述的装置；或
    所述发送端包括上述权利要求17-24中任一种所述的装置。
PCT/CN2017/079197 2017-04-01 2017-04-01 一种预失真方法、装置和系统 WO2018176436A1 (zh)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/CN2017/079197 WO2018176436A1 (zh) 2017-04-01 2017-04-01 一种预失真方法、装置和系统
US16/582,954 US20200021478A1 (en) 2017-04-01 2019-09-25 Predistortion method, apparatus, and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/079197 WO2018176436A1 (zh) 2017-04-01 2017-04-01 一种预失真方法、装置和系统

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US16/582,954 Continuation US20200021478A1 (en) 2017-04-01 2019-09-25 Predistortion method, apparatus, and system

Publications (1)

Publication Number Publication Date
WO2018176436A1 true WO2018176436A1 (zh) 2018-10-04

Family

ID=63674024

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/079197 WO2018176436A1 (zh) 2017-04-01 2017-04-01 一种预失真方法、装置和系统

Country Status (2)

Country Link
US (1) US20200021478A1 (zh)
WO (1) WO2018176436A1 (zh)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103401513A (zh) * 2013-08-02 2013-11-20 武汉邮电科学研究院 一种功率放大器的数字预失真处理方法和装置
CN104868854A (zh) * 2015-06-03 2015-08-26 中国科学院微电子研究所 一种数字预失真系统
CN105958952A (zh) * 2016-04-25 2016-09-21 中国科学技术大学 一种功率放大器的单比特数字预失真方法
US20170047952A1 (en) * 2009-12-21 2017-02-16 Dali Systems Co. Ltd. Multi-band wide band power amplifier digital predistortion system

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5137973B2 (ja) * 2008-01-15 2013-02-06 三菱電機株式会社 プレディストータ
JP5121691B2 (ja) * 2008-12-22 2013-01-16 株式会社東芝 歪補償器、送信機、歪補償方法
JP5593724B2 (ja) * 2010-02-16 2014-09-24 住友電気工業株式会社 増幅装置とこれを備えた無線送信装置、及び、増幅装置の利得調整方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170047952A1 (en) * 2009-12-21 2017-02-16 Dali Systems Co. Ltd. Multi-band wide band power amplifier digital predistortion system
CN103401513A (zh) * 2013-08-02 2013-11-20 武汉邮电科学研究院 一种功率放大器的数字预失真处理方法和装置
CN104868854A (zh) * 2015-06-03 2015-08-26 中国科学院微电子研究所 一种数字预失真系统
CN105958952A (zh) * 2016-04-25 2016-09-21 中国科学技术大学 一种功率放大器的单比特数字预失真方法

Also Published As

Publication number Publication date
US20200021478A1 (en) 2020-01-16

Similar Documents

Publication Publication Date Title
JP5761646B2 (ja) 変調アグノスティック（ａｇｎｏｓｔｉｃ）デジタルハイブリッドモード電力増幅器のシステム及び方法
US11632085B2 (en) Distortion compensation device and distortion compensation method
CN106506417B (zh) 一种窄带反馈的数字预失真系统与方法
WO2017095869A1 (en) Digital compensator
JP2010525758A (ja) デジタルハイブリッドモード電力増幅器システム
CN101022434A (zh) 一种预失真装置及方法
KR101386239B1 (ko) 비선형 왜곡의 보상을 위한 전치 왜곡 장치 및 방법
Liu et al. A new digital predistortion using indirect learning with constrained feedback bandwidth for wideband power amplifiers
US10693509B1 (en) Digital predistortion with power-specific capture selection
Liu et al. Digital predistortion architecture with reduced ADC dynamic range
WO2019105293A1 (zh) 非线性补偿的方法和光载无线通信系统
WO2018176436A1 (zh) 一种预失真方法、装置和系统
Jaraut et al. Application of principal component analysis based effective digital predistortion technique for low‐cost FPGA implementation
US9595925B2 (en) Distortion-compensating power amplifier and method for compensating for distortion to amplify power
US20090219088A1 (en) Apparatus and method for correcting non-linear distortion based on characteristic modeling of high power amplifier
US20080070512A1 (en) Offset-frequency loop-back calibration
WO2016026070A1 (zh) 信号处理装置、射频拉远单元和基站
JP6523287B2 (ja) デジタルプリディストーション装置のためのサンプル有効性の判別方法及び装置
WO2010073803A1 (ja) 歪補償回路及び無線基地局
US10305577B2 (en) Multi-stage linearizer
Zhang et al. Concurrent dual‐band digital predistortion implemented with reduced look‐up‐tables
US9966906B2 (en) Radio apparatus and abnormality detecting method
Hong et al. Robust digital predistortion in saturation region of power amplifiers
Hammi et al. Complexity‐aware‐normalised mean squared error ‘CAN’metric for dimension estimation of memory polynomial‐based power amplifiers behavioural models
Li et al. A Generalized Sampling Based Method for Digital Predistortion of RF Power Amplifiers

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17903569

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 17903569

Country of ref document: EP

Kind code of ref document: A1