首页 | 本学科首页   官方微博 | 高级检索  
     

Turbo乘积码构造方法的研究
引用本文:林宏,梅杓春.Turbo乘积码构造方法的研究[J].电子工程师,2006,32(9):18-20.
作者姓名:林宏  梅杓春
作者单位:南京邮电大学自动化学院,江苏省,南京市,210003
摘    要:Turbo乘积码因其具有接近香农限的译码性能和适合高速译码的并行结构,已成为纠错编码领域的研究热点。Turbo乘积码的分量码一般由扩展汉明码构造而成,所以该类码字编码和译码的硬件实现比较简单。当Turbo乘积码采用扩展汉明码作为子码时,随着信噪比的提高,码字的最小码重对误帧率的影响会逐步增大。文中改进了Turbo乘积码编码结构,在只增加较小的编译码复杂度和时延的情况下,提高了码字的最小码重,并减少了最小码重码字在码字空间所占的比例。通过仿真和分析,比较了这种码和TPC码在误帧率性能、码字的最小码重分布以及最小码间距估计上的差异。

关 键 词:纠错编码  Turbo乘积码  软输入软输出译码  迭代译码
收稿时间:2005-12-05
修稿时间:2005年12月5日

A Study on the Construction of Turbo Product Code
LIN Hong,MEI Shaochun.A Study on the Construction of Turbo Product Code[J].Electronic Engineer,2006,32(9):18-20.
Authors:LIN Hong  MEI Shaochun
Affiliation:Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Abstract:Turbo Product Codes(TPC) are now one of intensely studied areas of error correction coding due to their close to Shannon limit performance and parallel decoding architecture.The minimum Hamming weight of TPC is increased and the rate of minimum Hamming weight codes in code space is decreased.Meanwhile it only increases a little of decoding complexity and delay.Performance comparisons between our codes and TPC on BLER,the distributions of minimum Hamming weight of codes and minimum distance estimation are carried out by simulation and analysis.
Keywords:error-correcting codes  turbo product code  soft-in soft-out  iterative decoding
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号