| 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].Optoelectronics Letters,2017,13(3):217-220 |
| A novel soft reliability-based iterative majority-logic decoding algorithm with uniform quantization |
| Author Name | Affiliation | | YUAN Jian-guo | Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China | | WANG Zhe | Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China | | HE Chang-wei | Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China | | LIN Jin-zhao | Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China | | PANG Yu | Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China |
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| 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. This work has been supported by the National Natural Science Foundation of China (Nos.61472464, 61671091 and 61471075), the Natural Science Foundation of Chongqing Science and Technology Commission (No.cstc2015jcyjA0554), the Program for Innovation Team Building at Institutions of Higher Education in Chongqing (No.J2013-46), and the Undergraduate Science Research Training Project for Chongqing University of Posts and Telecommunications (No.A2016-61). E-mail:yuanjg@cqupt.edu.cn |
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