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

A high-performance, soft-decision technology, applied in soft-decision decoding, communication system scenarios, to overcome losses, improve performance, and overcome poor decoding performance

Active Publication Date: 2020-06-26
XIDIAN UNIV
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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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Embodiment Construction

[0036] The embodiments and effects of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0037] refer to figure 1, the QC-LDPC system adopted in the present invention is mainly composed of pseudo-random PN sequence generation module, QC-LDPC encoder module, QPSK digital modulation module, AWGN Gaussian channel module, QPSK digital demodulation module, QC-LDPC decoder module and error The code rate statistics module consists of:

[0038] The pseudo-random PN sequence generation module generates a bit data source by a random function, and passes the data source to the QC-LDPC encoder module;

[0039] The QC-LDPC encoder module encodes the bit data generated by the PN sequence generation module through the QC-LDPC encoder, and transfers the bit data obtained after encoding to the QPSK digital modulation module;

[0040] The QPSK digital modulation module performs quadrature phase shift keying modulation on the coded ...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L1/00
CPCH04L1/0009H04L1/0045H04L1/0061
Inventor 宫丰奎王垚龚险峰惠腾飞杨磊
Owner XIDIAN UNIV
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