High-performance soft decision decoding method based on QC-LDPC code

Abstract

The invention discloses a high-performance soft decision decoding method based on a QC-LDPC code, and mainly solves the problems of poor decoding performance and difficulty in implementation of an existing algorithm. According to the implementation scheme, the method includes: carrying out MATLAB simulation on the relation between the signal-to-noise ratio and the multiplicative factor according to the characteristic that the value of the multiplicative factor is related to the signal-to-noise ratio, and obtaining the corresponding relation between the signal-to-noise ratio and the multiplicative factor; performing least square curve fitting on the corresponding relationship to obtain a relational expression alpha (s) of the multiplicative factor and the signal-to-noise ratio; in a decoding iteration process, updating a check node message by utilizing a multiplicative factor alpha (s) and a minimum sum decoding algorithm; updating a variable node message; judging the decoding message in combination with the check node updating information and the variable node updating information; and after the maximum number of iterations is reached, stopping decoding, and outputting a decoding result. According to the method, the decoding performance of the QC-LDPC code is improved, the method is convenient to implement, and the method can be used for a communication system scene with a highrequirement for information transmission reliability.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a soft-decision decoding method, which can be used in a communication system scenario of QC-LDPC channel coding. Background technique [0002] As a linear error correcting code, QC-LDPC code has attracted more and more attention because of its strong error correcting ability, low decoding complexity and strong realizability. At present, the QC-LDPC hard-decision decoding algorithm has a large performance loss and cannot meet the reliability requirements of the communication system for information transmission, so there are few studies. Therefore, the research on the QC-LDPC decoding algorithm is mainly based on soft-decision decoding. On the other hand, soft-decision decoding algorithms for hardware implementation cannot achieve high decoding performance due to reduced complexity and simplified calculations. Therefore, it is necessary to improve the algorithmic perfor...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to address the deficiencies of the above-mentioned prior art, and propose a high-performance soft-decision decoding method based on QC-LDPC codes, so as to improve the decoding performance while ensuring that the computational complexity does not increase significantly.

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