Iterative Reliability-Based Modified Majority-Logic Decoding for Structured Binary LDPC Codes

被引:2
|
作者
Chen, Haiqiang [1 ,2 ,3 ,4 ]
Luo, Lingshan [1 ,2 ,3 ,4 ]
Sun, Youming [5 ]
Li, Xiangcheng [5 ]
Wan, Haibin [1 ,2 ,3 ,4 ]
Luo, Liping [6 ]
Qin, Tuanfa [1 ,2 ,3 ,4 ]
机构
[1] Guangxi Univ, Sch Comp Elect & Informat, Nanning 530004, Peoples R China
[2] Guangxi Univ, Guangxi Key Lab Multimedia Commun & Network Techn, Cultivating Base, Nanning 530004, Peoples R China
[3] Guangxi Univ, Guangxi Coll, Nanning 530004, Peoples R China
[4] Guangxi Univ, Univ Key Lab Multimedia Commun & Informat Proc, Nanning 530004, Peoples R China
[5] S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510641, Guangdong, Peoples R China
[6] Guangxi Univ Nationalities, Sch Informat Sci & Engn, Nanning, Peoples R China
关键词
Iterative decoding; low-density parity-check (LDPC) code; majority-logic decoding; reliability-based; structured LDPC codes; PARITY-CHECK CODES; ALGORITHMS; GRAPHS;
D O I
10.1109/JCN.2015.000064
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we present an iterative reliability-based modified majority-logic decoding algorithm for two classes of structured low-density parity-check codes. Different from the conventional modified one-step majority-logic decoding algorithms, we design a turbo-like iterative strategy to recover the performance degradation caused by the simply flipping operation. The main computational loads of the presented algorithm include only binary logic and integer operations, resulting in low decoding complexity. Furthermore, by introducing the iterative set, a very small proportion (less than 6%) of variable nodes are involved in the reliability updating process, which can further reduce the computational complexity. Simulation results show that, combined with the factor correction technique and a well-designed non-uniform quantization scheme, the presented algorithm can achieve a significant performance improvement and a fast decoding speed, even with very small quantization levels (3-4 bits resolution). The presented algorithm provides a candidate for trade-offs between performance and complexity.
引用
收藏
页码:339 / 345
页数:7
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