Dual simulated annealing soft decoder for linear block codes

This paper proposes a new approach to soft decoding for linear block codes called dual simulated annealing soft decoder (DSASD) which utilizes the dual code instead of the original code, using the simulated annealing algorithm as presented in a previously developed work. The DSASD algorithm demonstr...

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Veröffentlicht in:IAES international journal of artificial intelligence Jg. 14; H. 4; S. 2776
Hauptverfasser: Alaoui, Hicham Tahiri, Azouaoui, Ahmed, El Kafi, Jamal
Format: Journal Article
Sprache:Englisch
Veröffentlicht: 01.08.2025
ISSN:2089-4872, 2252-8938
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Zusammenfassung:This paper proposes a new approach to soft decoding for linear block codes called dual simulated annealing soft decoder (DSASD) which utilizes the dual code instead of the original code, using the simulated annealing algorithm as presented in a previously developed work. The DSASD algorithm demonstrates superior decoding performance across a wide range of codes, outperforming classical simulated annealing and several other tested decoders. We conduct a comprehensive evaluation of the proposed algorithm's performance, optimizing its parameters to achieve the best possible results. Additionally, we compare its decoding performance and algorithmic complexity with other decoding algorithms in its category. Our results demonstrate a gain in performance of approximately 2.5 dB at a bit error rate (BER) of 6×10⁻⁶ for the LDPC (60,30) code.
ISSN:2089-4872
2252-8938
DOI:10.11591/ijai.v14.i4.pp2776-2787