光电子快报(英文版), 2017, 13 (3): 217, Published Online: Sep. 13, 2018  

A novel soft reliability-based iterative majority-logic decoding algorithm with uniform quantization

Author Affiliations
Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Abstract
In this paper, a novel soft reliability-based iterative majority-logic decoding algorithm with uniform quantization is proposed for regularly structured low density parity-check (LDPC) codes. A weighted measure is introduced for each check-sum of the parity-check matrix and a scaling factor is used to weaken the overestimation of extrinsic information. Furthermore, the updating process of the reliability measure takes advantage of turbo-like iterative decoding strategy. The main computational complexity of the proposed algorithm only includes logical and integer operations with the bit uniform quantization criterion. Simulation results show that the novel decoding algorithm can achieve excellent error-correction performance and a fast decoding convergence speed.

YUAN Jian-guo, WANG Zhe, HE Chang-wei, LIN Jin-zhao, PANG Yu. A novel soft reliability-based iterative majority-logic decoding algorithm with uniform quantization[J]. 光电子快报(英文版), 2017, 13(3): 217.

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