A Study of LDPC Codes Layered Decoding Algorithm on Power Line Communications

CAI Li-ping; MA Xiao-wei; LI Jun-hong

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A Study of LDPC Codes Layered Decoding Algorithm on Power Line Communications

更新时间：2026-09-04

- A Study of LDPC Codes Layered Decoding Algorithm on Power Line Communications
- Vol. 30, Issue 5, Pages: 125-128(2013)
- 作者机构：
  
  1. 1 中国石油大学计算机与通信工程学院,山东,青岛,266580
  2. 2 中国移动通信集团河北有限公司邢台分公司,河北,邢台,054000
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2013
- 稿件说明：
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蔡丽萍, 马晓伟, 李俊红. 基于电力线通信的LDPC码分层译码算法研究[J]. 微电子学与计算机, 2013, 30(5): 125-128.

CAI Li-ping, MA Xiao-wei, LI Jun-hong. A Study of LDPC Codes Layered Decoding Algorithm on Power Line Communications[J]. 2013, 30(5): 125-128.
蔡丽萍, 马晓伟, 李俊红. 基于电力线通信的LDPC码分层译码算法研究[J]. 微电子学与计算机, 2013, 30(5): 125-128. DOI：

CAI Li-ping, MA Xiao-wei, LI Jun-hong. A Study of LDPC Codes Layered Decoding Algorithm on Power Line Communications[J]. 2013, 30(5): 125-128. DOI：

摘要

针对电力线信道多径延迟效应和脉冲噪声影响问题

建立了基于电力线的LDPC-OFDM系统模型.并基于该模型

对低密度奇偶校验码(LDPC)的译码算法进行深入研究.基于最小和置信传播(Belief Propagation

BP)译码算法原理

改进分层和积译码算法

提出一种基于修正因子的分层最小和对数似然比译码算法.仿真结果表明

该算法译码复杂度低

迭代收敛速度快

能够有效降低电力线LDPC-OFDM系统的误码率(BER)

提高传输效率.

Abstract

For Power Line Communication channels multipath delay effects and impulse noise

the system of LDPCOFDM based on low-voltage power line is built.The Low Density Parity Check Codes decoding algorithm is studied based on the system.According to the min-sum BP algorithm

a coefficient is designed to modify layered sum-product algorithm

so the layered min-sum BP algorithm based coefficient is proposed.The algorithm is convenient to implenment for its low decoding complexity and fast speed of iterative.The simulation shows that the algorithm not only achieve a better error performance under the systerm of LDPC-OFDM

but also improve the transmission efficiency.

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Related Institution

Shandong Yunhai Guochuang Innovative Technology Co., Ltd., Ji'nan

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Microelectronics Center of Harbin Institute of Technology

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Information and Communication Department, Global Energy Interconnection Research Institute, Beijing 1002211

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