Decoding Algorithms for Majority-Logic Decodable LDPC Codes

CHEN Hai-qiang; LUO Ling-shan; SUN You-ming; LI Xiang-cheng; LI Dao-feng; QIN Tuan-fa

doi:10.3969/j.issn.0372-2112.2015.06.019

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Decoding Algorithms for Majority-Logic Decodable LDPC Codes

更新时间：2025-07-16

- Decoding Algorithms for Majority-Logic Decodable LDPC Codes
- Acta Electronica Sinica Vol. 43, Issue 6, Pages: 1169-1173(2015)
- 作者机构：
  
  1. 广西大学计算机与电子信息学院,广西,南宁,530004
  2. 广西大学广西多媒体通信与网络技术重点实验室培育基地,广西,南宁,530004
  3. 广西大学广西高校多媒体通信与信息处理重点实验室,广西,南宁,530004
  4. 广西大学计算机与电子信息学院,广西,南宁,530004
  5. 广西大学广西多媒体通信与网络技术重点实验室培育基地,广西,南宁,530004
  6. 广西大学广西高校多媒体通信与信息处理重点实验室,广西,南宁,530004
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2015.06.019
  CLC： TN911.22
- Published：2015
- 稿件说明：
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CHEN Hai-qiang, LUO Ling-shan, SUN You-ming, et al. Decoding Algorithms for Majority-Logic Decodable LDPC Codes[J]. Acta Electronica Sinica, 2015, 43(6): 1169-1173.
DOI：

CHEN Hai-qiang, LUO Ling-shan, SUN You-ming, et al. Decoding Algorithms for Majority-Logic Decodable LDPC Codes[J]. Acta Electronica Sinica, 2015, 43(6): 1169-1173. DOI： 10.3969/j.issn.0372-2112.2015.06.019.

摘要

本文提出两种基于可靠度的迭代大数逻辑译码算法

从以下两个方面降低译码复杂度:(1)校验节点使用伴随式信息处理

可节省外信息的计算操作;(2)变量节点使用伴随信息进行总信息的投票计数过程.结合非均匀量化技术

接收信号在判决门限附近获得更加精细的处理.此外

本文利用量化参数和列重比例信息对可靠度偏移方向和幅度进行了设计.仿真实验表明

本文提出的算法能够在很低的量化比特(3~4 bits)下有效工作

具有优良的译码性能和快速的收敛速度.

Abstract

In this paper

we present two iterative reliability-based majority-logic decoding algorithms.The proposed algorithm has a lower complexity due to the following two modifications.First

at check nodes

syndrome messages instead of extrinsic messages are calculated and passed back to variable nodes.Second

at the variable nodes

the syndrome messages are directly involved in the voting process.The non-uniform quantization scheme and a new iterative process of reliability-message shifting are also presented in this paper.The received signal achieve a higher quantization resolution near the decision threshold.The shifting direction/step are jointly designed with the quantization parameter and the column weights.Simulation results show that

the presented algorithms can achieve excellent BER performance and fast decoding speed

even with very small quantization levels (3~4 bits resolution).

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