Optimization of Sign-Preserving Noise-Aided Min-Sum Decoders with Density Evolution

F Cochachin 1, 2 E. Boutillon 3 D. Declercq 2
1 Lab-STICC_UBS_CACS_IAS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 Lab-STICC_UBS_CACS_IAS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : The novelty of this paper is to propose a new LDPC decoder called Sign-Preserving Noise-Aided Min-Sum (SP-NA-MS) decoder that improves the decoding performance compared to classical Offset Min-Sum (OMS) decoder when messages are quantized, with only 3 or 4 bits. The particularity of the SP-NA-MS decoder is that the variable-to-check messages are never set to 0, and always carry the sign information. Moreover, the decoder incorporates random perturbation due to deliberate noise injection. The parameters of the SP-NA-MS decoders are optimized in the asymptotic limit of the code length thanks to the Density Evolution (DE) method. The finite-length simulations confirm the conclusions of the DE analysis and gain of up to 0.3 dB in SNR can be obtained compared to regular OMS with same quantization level.
Type de document :
Communication dans un congrès
International Symposium on Turbo Codes & Iterative Information Processing 2018 (ISTC'2018), Dec 2018, Hong Kong, China
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https://hal.archives-ouvertes.fr/hal-01950033
Contributeur : Emmanuel Boutillon <>
Soumis le : lundi 10 décembre 2018 - 15:19:56
Dernière modification le : vendredi 21 décembre 2018 - 01:03:12

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  • HAL Id : hal-01950033, version 1

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F Cochachin, E. Boutillon, D. Declercq. Optimization of Sign-Preserving Noise-Aided Min-Sum Decoders with Density Evolution. International Symposium on Turbo Codes & Iterative Information Processing 2018 (ISTC'2018), Dec 2018, Hong Kong, China. 〈hal-01950033〉

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