系统极化码的高效低复杂度编译码算法研究  

Research on high-efficiency low-complexity encoding and decoding algorithms for systematic polarization code

作　　者：谭燕秋 郑郁正[1] 杜江[1] TAN Yanqiu;ZHENG Yuzheng;DU Jiang(School of Communication Engineering,Chengdu University of Information Technology,Chengdu 610225,China)

机构地区：[1]成都信息工程大学通信工程学院

出　　处：《现代电子技术》2019年第17期25-28,共4页Modern Electronics Technique

基　　金：四川省科技厅科技创新研发专项——科技支撑计划资助项目(2014RZ0017)~~

摘　　要：系统极化码能减弱非系统极化码在连续抵消(SC)译码时的误码扩散敏感性,且在相同计算复杂度下拥有更好的误码性能,已被第五代通信系统采用,作为信道编码方式之一。在对系统极化码进行构造时采用经典的巴氏参数界法,编码时采用复杂度低且高效的非迭代编码算法,译码时采用循环校验码(C RC)辅助的基于对数似然比的连续抵消列表算法(LLR SCL)与再编码结合。仿真结果表明,低信噪比下中等长度的系统极化码的SCL译码性能远优于SC译码;再加以CRC辅助译码后,其性能可得到大幅提升。The systematic polarization code can weaken the error propagation sensitivity of nonsystematic polar codes in successive cancelation(SC) decoding and possesses better performance under the same computational complexity of the error performance,so it has been adopted by the fifth generation of communication system as one of the channel coding modes. During the construction of the system polarization code,the classic Bhattacharyya bounds of bit channels are adopted. In the process of coding,a low complexity efficient non iterative coding algorithm is adopted,and in the process of decoding,C RC assisted LLR based successive cancellation list(LLR SCL) combined with re encoding is used. The simulation results show that when the LLR SCL decoding method is used,the performance of the mid length systematic polarization code is far better than that of SC decoding. The performance of SCL decoding with CRC is greatly improved.

关 键 词：系统极化码编码 系统极化码译码 非迭代编码算法 连续抵消译码 循环校验码 仿真分析 

分 类 号：TN911.2-34[电子电信—通信与信息系统]