首页 | 本学科首页   官方微博 | 高级检索  
     

LDPC编码调制系统中基于反馈LLR均值的迭代解调/译码算法
引用本文:黄平,姜明,赵春明.LDPC编码调制系统中基于反馈LLR均值的迭代解调/译码算法[J].电子与信息学报,2008,30(8):1845-1848.
作者姓名:黄平  姜明  赵春明
作者单位:1. 东南大学移动通信国家重点实验室,南京210096;河海大学电气工程学院,南京,210098
2. 东南大学移动通信国家重点实验室,南京,210096
基金项目:国家自然科学基金,国家高技术研究发展计划(863计划)
摘    要:该文针对LDPC码编码的BICM系统,提出一种对LDPC码译码器输出外附信息的计算方法进行改进的迭代解调/译码算法。与传统的解调/译码算法不同在于,该算法对每次BP迭代中译码器输出的各编码比特的外附LLR分别求均值后,再将其作为先验信息反馈给软解调器开始下次的迭代解调/译码。采用该方法可有效地减轻LDPC码在BP迭代过程中某些比特LLR值的振荡现象,从而使得传递给软解调器的外附信息更准确。仿真结果表明,和传统的两种迭代解调/译码算法相比,该算法能进一步提高LDPC编码BICM迭代系统的译码性能,而复杂度并无明显增加。

关 键 词:低密度奇偶校验码    比特交织编码调制    迭代解调译码算法    外附信息
收稿时间:2007-10-29
修稿时间:2008-4-14

Improved Decoding for LDPC Coded Modulation Systems Using Averaged Log-Likelihood Ratios
Huang Ping,Jiang Ming,Zhao Chun-ming.Improved Decoding for LDPC Coded Modulation Systems Using Averaged Log-Likelihood Ratios[J].Journal of Electronics & Information Technology,2008,30(8):1845-1848.
Authors:Huang Ping  Jiang Ming  Zhao Chun-ming
Affiliation:National Mobile Communication Research Lab., Southeast University, Nanjing 210096, China; Electrical Engineering School, HoHai University, Nanjing 210098, China
Abstract:In this paper, an improved iterative decoding algorithm based on averaged Log-Likelihood Ratio (LLR) is proposed for LDPC coded BICM systems. The extrinsic information delivered by every BP iteration is averaged and the averaged LLR values are used as a prior LLR fed back to the input of demodulator for the next iteration. This method can alleviate the LLR oscillation of certain variable nodes during BP iterations and thus make the extrinsic output of decoder is more credible. Simulation results show that, compared with the two conventional iterative decoding algorithms, this improved algorithm achieves noticeable error performance improvement with only modest increase in computation complexity.
Keywords:Low-Density Parity-Check (LDPC) codes" target="_blank">Low-Density Parity-Check (LDPC) codes')">Low-Density Parity-Check (LDPC) codes  Bit-Interleaved Coded Modulation (BICM)  Iterative decoding algorithm  Extrinsic information" target="_blank">')">Extrinsic information
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《电子与信息学报》浏览原始摘要信息
点击此处可从《电子与信息学报》下载全文
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