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

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 t...

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Published in:Optoelectronics letters Vol. 13; no. 3; pp. 217 - 220
Main Author: 袁建国 汪哲 何昌伟 林金朝 庞宇
Format: Journal Article
Language:English
Published: Tianjin Tianjin University of Technology 01.05.2017
Springer Nature B.V
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ISSN:1673-1905, 1993-5013
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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.
AbstractList 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.
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.
Author 袁建国 汪哲 何昌伟 林金朝 庞宇
AuthorAffiliation Chongqing Key Laboratory of Photoelectronie Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
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Cites_doi 10.1007/s11801-013-3135-y
10.1109/TVT.2015.2432099
10.1109/LCOMM.2016.2623783
10.1109/LCOMM.2016.2584069
10.1109/TIT.2007.899516
10.1049/el.2013.2390
10.1109/JCN.2015.000064
10.1109/LCOMM.2014.2363112
10.1109/JCN.2015.000042
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Notes 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.
12-1370/TN
decoding iterative quantization parity integer correction extrinsic turbo scaling operations
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SubjectTerms Algorithms
Binary system
Codes
Computer simulation
Decoding
Error correction
Iterative methods
Lasers
Measurement
Optical Devices
Optics
Parity
Photonics
Physics
Physics and Astronomy
Reliability
Scaling factors
turbo迭代译码
低密度奇偶校验码
可靠性度量
均匀
奇偶校验矩阵
译码算法
逻辑
量化
Title A novel soft reliability-based iterative majority-logic decoding algorithm with uniform quantization
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