摘要
低密度奇偶校验(low-density parity-check,LDPC)码是具有逼近香农(Shannon)极限的一种好码,且灵活性强,描述简单,是信道纠错编码技术的研究热点。针对某通信系统,为了使信息传输能够适应多种情况的需求,在LDPC码编译码原理的基础上设计了具有独特字插入功能、编码参数逐帧可变的编译码系统,同时采用信息位校验位打散功能的设计方法,可实现信息加密。不同码长的编译码模块采用复用的方案,随机存取内存(random access memory,RAM)按照最长码长设计,降低资源占用率。在加性高斯白噪声(additive white gaussian noise, AWGN)信道下基于最小和译码算法完成性能分析。仿真结果表明,该设计方案能够实现码长、迭代次数、打散方式、独特字插入等多参数可调的LDPC码编译码系统,且信息传输性能良好,资源占用率低。
Low-density parity-check(LDPC) code is an excellent code with a fair approximation to Shannon limit, strong flexibility and simple description, which has been a research hotspot of channel error correction coding technology. Focused on certain communication system, a codec system was designed based on principle of LDPC code with unique word insertion function and variable coding parameters from frame to frame for the purpose of adapting information transmitting to the needs under various circumstances. Meanwhile, by means of breaking information bit and check bit, the information encryption was realized by the proposed codec system. Multiplexing scheme was adopted to codec modules with different code lengths and the random access memory(RAM) was designed according to the longest code length so as to reduce its resource occupancy. The performance of the MSA decoding algorithm was analyzed in the additive white gaussian noise(AWGN) channel. The simulation results show that the proposed method can realize functions of adjustable multi-parameter LDPC codec system with excellent performance of information transmission and low resource occupancy rate, such as functions of code length, iteration number, break mode, unique word insertion, etc.
作者
陈雷
卢叶婷
王涛
韦靖
张锁良
CHEN Lei;LU Ye-ting;WANG Tao;WEI Jing;ZHANG Suo-liang(Electronic and Information Engineering,Hebei University,Baoding 071002,China;Electronic and Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China)
出处
《科学技术与工程》
北大核心
2020年第23期9433-9439,共7页
Science Technology and Engineering
基金
国家自然科学基金重点项目(61531007)
国家自然科学基金(61701034)。
关键词
低密度奇偶校验码
编码参数逐帧可变
最小和译码算法
low density parity check code
coding parameter frame by frame variable
min-sum algorithm
