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Volterra digital pre-distortion parameter identification method based on support set correction approximate message passing

A digital predistortion, approximate message technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problems affecting the parameter identification performance of the Volterra model, and achieve good method stability, good identification performance, and application range. wide effect

Pending Publication Date: 2019-11-15
QINGDAO UNIV
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Problems solved by technology

In the parameter identification of the Volterra digital predistorter, the inherent defects of the AMP method seriously affect the identification performance of the parameters of the Volterra model

Method used

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  • Volterra digital pre-distortion parameter identification method based on support set correction approximate message passing
  • Volterra digital pre-distortion parameter identification method based on support set correction approximate message passing
  • Volterra digital pre-distortion parameter identification method based on support set correction approximate message passing

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Embodiment Construction

[0083] In order to illustrate the technical solution of the present invention more clearly, the present invention will be further described below. Obviously, what is described below is only some embodiments of the present invention. For those of ordinary skill in the art, no creative work On the premise of these embodiments, other embodiments obtained according to these embodiments all belong to the protection scope of the present invention.

[0084] Preset DPD model information

[0085] The communication transmitting system block diagram that the present invention adopts is as figure 2 shown. The power amplifier is a very critical device in the communication system, but the PA has memory nonlinear characteristics, and its memory nonlinear characteristics are usually described by AM-AM characteristics and AM-PM characteristics. AM-AM distortion mainly studies the amplitude of the input signal and the output signal. Non-linear distortion characteristics, AM-PM distortion is ...

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Abstract

The invention provides a Volterra digital pre-distortion parameter identification method based on support set correction approximate message passing. The Volterra digital pre-distortion parameter identification method comprises the following steps: S1, generating a Volterra measurement matrix according to DPD model information; s2, carrying out normalization processing of a measurement matrix; s3,correcting the threshold shrinkage function and setting target iteration times and target precision; s4, performing iterative computation on model coefficients and residual errors, and extracting a coefficient support set; and S5, carrying out support set correction processing to improve the AMP estimation precision. Experiments prove that the SSR-AMP method provided by the invention has good feasibility and effectiveness for parameter identification of the Volterra digital predistorter.

Description

technical field [0001] The invention relates to a method for identifying parameters of a power amplifier digital predistortion, in particular to a method for identifying parameters of a Voltera digital predistortion model by using an approximate information transfer algorithm, and belongs to the technical field of communication signal processing. Background technique [0002] power amplifier [0003] With the rapid development of wireless communication, wireless mobile communication system and related technologies are experiencing an era of rapid development. Many modern communication modulation methods, such as Orthogonal Frequency Division Multiplexing (OFDM) and Multiple-Input Multiple-Output (MIMO), have the characteristics of wide frequency band and high spectrum utilization efficiency. At the same time, higher requirements are placed on the linearity of the power amplifier (Power Amplifier, PA). [0004] The power amplifier is an essential key device in the wireless ...

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Application Information

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IPC IPC(8): G06F17/50
Inventor 苗圃王者卜庆凯宋康于腾
Owner QINGDAO UNIV
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