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
2 ETIS - UMR 8051 - Equipes Traitement de l'Information et Systèmes
3 Lab-STICC_UBS_CACS_IAS

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.

Domaines: Electronique

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⟩