Sign-Preserving Min-Sum Decoders

نویسندگان

چکیده

This paper proposes a new finite precision iterative decoder for low-density parity-check (LDPC) codes. The proposed decoder, named Sign-Preserving Min-Sum (SP-MS), significantly improves the decoding performance compared to classical Offset (OMS) when messages are quantized on $q=2$ , 3, or 4 bits. particularity of SP-MS is that cannot take 0 value, and can fully benefit from notation="LaTeX">$q$ bits precision. optimization investigated in asymptotic limit code length using density evolution (DE). Our study shows 3-bit decoders achieve same error-correcting as 5-bit OMS decoders, 2-bit outperform decoders. finite-length simulations confirm conclusions DE analysis several LDPC signal-to-noise ratio (SNR) gain up 0.43 dB, with memory/wire reduction 40%, decoder. Moreover, converges faster uses fewer iterations than an improvement 83.3% average throughput. On FPGA, reduces resource utilization by 56%

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ژورنال

عنوان ژورنال: IEEE Transactions on Communications

سال: 2021

ISSN: ['1558-0857', '0090-6778']

DOI: https://doi.org/10.1109/tcomm.2021.3099173