用对数域和积算法分析周长为6的QC-LDPC码的性能

J. Mathur, Alpana Pandey
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引用次数: 1

摘要

利用对数域和积算法和简单对数域和积算法对周长为6的准循环低密度奇偶校验码(QC-LDPC)进行译码误码率性能分析。基于稀疏上下分解构造LDPC码奇偶校验矩阵的方法。然后创建QC-LDPC矩阵计数器移位,交错映射,设置XORing,循环移位和随机化过程被使用。所构造的QC-LDPC码的周长为6,码率为6,行权为6,列权为3。通过仿真计算码I(960,480)、码II(1980, 990)和码III(1080,540)等不同码长的误码率性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance analysis of QC-LDPC codes with girth 6 using Log Domain sum product algorithm
This paper presents Bit error Rate performance Analysis of Quasi Cyclic Low Density Parity Check Codes (QC-LDPC) with girth 6 using Log Domain sum product and Simple Log Domain Sum Product Algorithm for Decoding. The approach to construct Parity Check matrix for LDPC codes is based on sparse Lower Upper decomposition. Then to create QC-LDPC matrix counter shifting, interleave mapping, Set XORing, Circulant Shifting and Randomization processes are being used. The constructed QC-LDPC codes is of a girth 6 on / code Rate have row weight 6 and column weight 3. Bit error rate performance is done through simulation to be calculated for various code length such as code I (960, 480), code II (1980, 990) and code III (1080, 540).
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