Optoelectronics Letters, Volume. 14, Issue 3, 217(2018)

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

Jian-guo YUAN*... Zhe WANG, Chang-wei HE, Jin-zhao LIN and Yu and PANG |Show fewer author(s)
Author Affiliations
  • Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
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    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.

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    YUAN Jian-guo, WANG Zhe, HE Chang-wei, LIN Jin-zhao, and PANG Yu. Anovel soft reliability-based iterative majority-logic decoding algorithm with uniform quantization[J]. Optoelectronics Letters, 2018, 14(3): 217

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    Paper Information

    Category: Optical Fibers and Communications

    Received: Feb. 27, 2017

    Accepted: Mar. 24, 2017

    Published Online: Sep. 15, 2018

    The Author Email: Jian-guo YUAN (yuanjg@cqupt.edu.cn)

    DOI:10.1007/s11801-017-7046-1

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