Adaptive Quantized and Normalized MSA and Its Application for DTMB-A LDPC Codes

In practical implementation, the input and intermediate signals of Low-Density Parity-Check (LDPC) message passing decoders are quantized into fixed-point messages with finite bit-width. The quantization operation with limited bit-width enhances the data throughput and reduces the computation and st...

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Bibliographic Details
Published in:IEEE International Symposium on Broadband Multimedia Systems and Broadcasting pp. 1 - 5
Main Authors: An, Xia, Zhang, Chao, Peng, Kewu, He, Zhitong, Song, Jian
Format: Conference Proceeding
Language:English
Published: IEEE 14.06.2023
Subjects:
adaptive quantization
adaptive quantized and normalized min-sum algorithm (AQNMSA)
AWGN channels
Decoding
Degradation
DTMB-A
low-density parity-check (LDPC) code
Modulation
Parity check codes
Phase shift keying
Quantization (signal)
ISSN:2155-5052
Online Access:Get full text
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Summary:In practical implementation, the input and intermediate signals of Low-Density Parity-Check (LDPC) message passing decoders are quantized into fixed-point messages with finite bit-width. The quantization operation with limited bit-width enhances the data throughput and reduces the computation and storage overhead of LDPC decoder, but confronts the problem of performance degradation. Existing improved algorithms of min-sum algorithm (MSA) generally do not consider the effect of quantization, and thus lack the optimization of the quantization strategy. To fill this gap, we first propose adaptive asymmetric quantization strategy. Then, based on the proposed quantization strategy, combined with conventional adaptive normalization technique, we propose adaptive quantized and normalized MSA (AQNMSA), which significantly alleviates the performance degradation of fixed quantized and normalized MSA (NMSA) with negligible increment of computational complexity. Concurrently, we provide a novel look-up table design algorithm for AQNMSA based on the tool of multi-edge-type density evolution (MET-DE). Finally, we apply AQNMSA to DTMB-A LDPC codes with a very low quantization bit-width of 4 bits, and observe a superior threshold performance and lower error floor compared with its non-adaptive float-point counterparts.
ISSN:2155-5052
DOI:10.1109/BMSB58369.2023.10211558