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

Jian-guo Yuan , Zhe Wang , Chang-wei He , Jin-zhao Lin , Yu Pang

Optoelectronics Letters ›› : 217 -220.

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Optoelectronics Letters ›› : 217 -220. DOI: 10.1007/s11801-017-7046-1
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A novel soft reliability-based iterative majority-logic decoding algorithm with uniform quantization

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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.

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Jian-guo Yuan, Zhe Wang, Chang-wei He, Jin-zhao Lin, Yu Pang. A novel soft reliability-based iterative majority-logic decoding algorithm with uniform quantization. Optoelectronics Letters 217-220 DOI:10.1007/s11801-017-7046-1

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