LDPC decoding algorithm with generalized threshold-function over Rayleigh fading channel

被引：0
|
作者：
Chen H.-Q. [1 ,2 ,3 ]
Liang Q. [1 ]
Li X.-C. [1 ,2 ,3 ]
Sun Y.-M. [1 ]
Qin T.-F. [1 ,2 ,3 ]
Li D.-F. [1 ]
机构：
[1] School of Computer, Electronics and Information, Guangxi University, Nanning, 530004, Guangxi
[2] Guangxi Key Laboratory of Multimedia Communications and Network Technology, Guangxi University Cultivating Base, Guangxi University, Nanning, 530004, Guangxi
[3] Guangxi Colleges and Universities Key Laboratory of Multimedia Communications and Information Processing, Guangxi University, Nanning, 530004, Guangxi
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2017年 / 45卷 / 01期
关键词：
Decoding complexity; Iterative decoding; LDPC code; Non-uniform quantization; Threshold-function;
D O I：
10.3969/j.issn.0372-2112.2017.01.003
中图分类号：
学科分类号：
摘要：
There exist two criterions for the existing LDPC decoding algorithms at node-processing, majority-logic processing and fully processing. The algorithms can't make flexible tradeoffs between performance and complexity, since their threshold parameters are usually set to be unvaried. This paper first presents a generalized threshold-function, which can apply to most of the existing binary LDPC decoding algorithms to control the participating-nodes in the iterations by adjusting the threshold parameters. Then a new non-uniform quantization decoding algorithm combined with syndrome and constellation mapping information is presented, which can further reduce the complexity and memory load. Simulation results show that the presented algorithm can obtain excellent decoding performances with very low quantization level over the Rayleigh fading channel. Furthermore, it is shown that only 30% variable nodes are involved in the iterations when combined with the presented threshold-function, which can remarkably reduce the complexity. © 2017, Chinese Institute of Electronics. All right reserved.
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页码：16 / 21
页数：5
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