马文卓1,
王琳1
1.厦门大学信息与通信工程系 厦门 361005
2.厦门大学深圳研究院 深圳 518057
基金项目:国家自然科学基金(61671395)，广东省自然科学基金(2018A030313710)
详细信息
作者简介:洪少华：男，1983年生，副教授，研究方向为信息论与编码，图像压缩与处理，非线性信号处理
马文卓：男，1994年生，硕士生，研究方向为信息论与编码
王琳：男，1963年生，教授，研究方向为信息论与编码，宽带无线通信
通讯作者:洪少华 hongsh@xmu.edu.cn
中图分类号:TN911计量
文章访问数:394
HTML全文浏览量:157
PDF下载量:71
被引次数:0
出版历程
收稿日期:2020-05-08
修回日期:2020-10-20
网络出版日期:2020-10-23
刊出日期:2021-01-15
Edge Spreading Optimization for Terminated Protograph-based Low-Density Parity-Check Convolutional Codes
Shaohua HONG1, 2,,,Wenzhuo MA1,
Lin WANG1
1. Department of Information and Communication Engineering, Xiamen University, Xiamen 361005, China
2. ShenZhen Research Institute of Xiamen University, Shenzhen 518057, China
Funds:The National Natural Science Foundation of China (61671395), The Natural Science Foundation of Guangdong Province (2018A030313710)
摘要
摘要:截断式原模图低密度奇偶校验(LDPC)卷积码(P-LDPC-CCs)结合了原模图LDPC (P-LDPC)码和卷积码的特点，具有多变的编码构造方式和优异的纠错性能，实现了编译码低时延特性。边扩展作为构造截断式原模图LDPC卷积码基础矩阵关键步骤，是影响其性能的重要因素。该文提出了一种边扩展优化方法。该方法利用原模图外信息转移(P-EXIT)算法理论分析基础矩阵的译码门限，引入差分进化思想搜索一定条件下最优的边扩展方式。理论分析与系统仿真结果均表明所提边扩展优化方法比现有的方法具有更好的性能。
关键词:截断式原模图低密度奇偶校验卷积码/
原模图外信息转移/
边扩展/
优化
Abstract:Terminated Protograph-based Low-Density Parity-Check (LDPC) Convolutional Codes (Terminated P-LDPC-CCs), which combine the characteristics of Protograph-based LDPC (P-LDPC) codes and convolutional codes, have variable encoding constructed schemes, excellent error-correcting performance, and high-speed coding characteristics. As the key step of constructing Terminated P-LDPC-CCs, edge spreading is an important factor to determine the performance. In this paper, an edge spreading optimization method is proposed. In the proposed method, the differential evolution algorithm is introduced to search the best edge spreading mode based on the decoding threshold calculated by Protograph-based EXtrinsic Information Transfer (P-EXIT) analysis. Both P-EXIT analysis and simulation results indicate that the proposed edge spreading optimization method can achieve better performance.
Key words:Terminated Protograph-based Low-Density Parity-Check Convolutional Codes (Terminated P-LDPC-CCs)/
Protograph-based EXtrinsic Information Transfer (P-EXIT)/
Edge spreading/
Optimization
PDF全文下载地址:
https://jeit.ac.cn/article/exportPdf?id=d9d17e60-1feb-4376-a1a0-117490aa0383
