A novel soft reliability-based iterative majority-logic decoding algorithm with uniform quantization
| Autor: | Zhe Wang, Chang-wei He, Jian-guo Yuan, Jin-zhao Lin, Yu Pang |
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| Rok vydání: | 2017 |
| Předmět: |
Computational complexity theory
Computer science Berlekamp–Welch algorithm 020208 electrical & electronic engineering List decoding 020206 networking & telecommunications Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Sequential decoding Condensed Matter Physics Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Majority logic decoding Logical conjunction 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Low-density parity-check code Algorithm Decoding methods Computer Science::Information Theory |
| Zdroj: | Optoelectronics Letters. 13:217-220 |
| ISSN: | 1993-5013 1673-1905 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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