光通信系统中LDPC码译码算法的研究进展  

Research progress on decoding algorithm of LDPC codes in optical communication systems

作　　者：袁建国[1] 孙雪敏 汪哲[1] 曾磊 胡潇月 吴英冬 

机构地区：[1]重庆邮电大学光电信息感测与传输技术重庆市重点实验室

出　　处：《激光杂志》2018年第2期1-7,共7页Laser Journal

基　　金：国家自然科学基金项目(No.61472464);重庆市基础与前沿研究计划项目(No.cstc2015jcyjA0554);2016年重庆邮电大学大学生科研训练计划项目(No.A2016-61)

摘　　要：低密度奇偶校验（Low-Density Parity-Check,LDPC）码具备性能优异、构造灵活、编译码低复杂度、硬件实现容易与低差错平层等优点,已广泛应用于光通信系统等领域。LDPC码译码算法的选取对LDPC码纠错性能的优劣起着至关重要的作用,因而深入研究光通信系统中LDPC码的各类译码算法是十分必要的。本文重点综述与分析了光通信系统中LDPC码的一些诸如信息传递算法、翻转比特译码、置信传播译码、和积译码、最小和译码及其改进算法等经典译码算法及其性能分析方法。在此基础上总结现阶段光通信系统中研究译码算法中亟待解决的关键问题,展望了其译码发展前景,为今后深入开展相关研究提供理论指导。Low density parity check（ LDPC） codes have some advantages such as excellent performance,flexible structure,low complexity,easy implementation of the hardware and low error floor,and have been widely used in optical communication systems and other fields. The selection of the decoding algorithm for LDPC codes plays a very important role in its error-correction performance,so the various decoding algorithms of LDPC codes are deeply studied in optical communication systems. The article focuses on the summary and analysis of some classic decoding algorithms for optical communication systems such as message-passing algorithm,bit-flipping decoding algorithm,belief propagation decoding algorithm,sum-product decoding algorithm,min-sum decoding algorithm and their improved algorithms,as well as the methods of their performance analysis. On this basis,the key problems to be urgently solved at the present stage are summarized in the research of decoding algorithm in optical communication systems and the prospects of decoding development are probed. These works can play a very important theory guidance role in the related research in future.

关 键 词：光通信系统 低密度奇偶校验码 译码 纠错性能 复杂度 

分 类 号：TN209[电子电信—物理电子学]