基于振荡估计的准循环LDPC码的改进UMP BP译码算法

2013 Tenth International Conference on Wireless and Optical Communications Networks (WOCN) Pub Date : 2013-07-26 DOI:10.1109/WOCN.2013.6616219

F. Zhang, Fa Xia Yang, Meng Dong

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引用次数: 0

摘要

研究了一种基于统一最强大信念传播(UMP BP)算法的改进算法，通过在校验处理中引入均方差和比值两个因素，实现了常规QC-LDPC码的译码实现。该译码算法采用软判决和硬判决相结合的方法，自适应地降低了前- llrs符号变化引起的振荡，进一步降低了UMP BP算法在第一次迭代时产生的误差。仿真结果表明，改进的DARBFMS算法的实现优于传统算法。与不规则LDPC码的改进算法相比，QC-LDPC码的性能更好。

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A new modified UMP BP decoding algorithm of quasi-cyclic LDPC codes based on oscillation estimation

A modified algorithm based on the Uniformly Most Powerful Belief Propagation (UMP BP) algorithm are studied for decoding implementation of regular QC-LDPC codes by introducing two factors of mean square difference and ratio in check processing. The decoding algorithm is a combination of soft decision and hard decision to adaptively decrease the oscillation caused by the change of ex-LLRs sign, further to reduce the errors of UMP BP algorithm caused in first iteration, Simulation result shows that implementation of improved DARBFMS algorithm outperform conventional algorithms. Compared with the improved algorithm in irregular LDPC codes, performance in QC-LDPC codes seems better.

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2013 Tenth International Conference on Wireless and Optical Communications Networks (WOCN)

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