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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Vydané v:Optoelectronics letters Ročník 13; číslo 3; s. 217 - 220
Hlavný autor: 袁建国 汪哲 何昌伟 林金朝 庞宇
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Tianjin Tianjin University of Technology 01.05.2017
Springer Nature B.V
Predmet:
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
ISSN:1673-1905, 1993-5013
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Shrnutí: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.
Bibliografia: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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ISSN:1673-1905
1993-5013
DOI:10.1007/s11801-017-7046-1