Message passing algorithm with MAP decoding on zigzag cycles for non-binary LDPC codes

Information Theory Proceedings(2013)

引用 1|浏览5
暂无评分
摘要
In this paper, we propose a decoding algorithm which lowers decoding erasure rates in the error floor regions for non-binary low-density parity-check codes transmitted over the binary erasure channels. This decoding algorithm is a combination with belief propagation (BP) decoding and maximum a posteriori (MAP) decoding on zigzag cycles, which cause decoding erasures in the error floor region. We show that MAP decoding on the zigzag cycles is realized by means of a message passing algorithm. A simulation result shows that the decoding erasure rates in the error floor regions by the proposed decoding algorithm are lower than those by the BP decoder.
更多
查看译文
关键词
binary codes,decoding,maximum likelihood detection,parity check codes,MAP decoding,belief propagation decoding,binary erasure channel,decoding erasure rates,error floor region,low-density parity-check codes,maximum a posteriori decoding,message passing algorithm,nonbinary LDPC codes,zigzag cycle
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要