Efficient Implementation of a Threshold Modified Min-Sum Algorithm for LDPC Decoders

In this brief, we present a hardware efficient implementation of a threshold modified min-sum algorithm (MSA) to improve the performance of a low density parity-check (LDPC) decoder. The proposed architecture introduces a novel lookup table based threshold attenuation technique, called threshold att...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2020-09, Vol.67 (9), p.1599-1603
Main Authors: Liu, Yanfang, Tang, Wei, Mitchell, David G. M.
Format: Article
Language:English
Subjects:
Algorithms
Architecture
Attenuation
Bit error rate
Circuits
Decoders
Decoding
Field programmable gate arrays
FPGA
Hardware
LDPC codes
LDPC decoder
Lookup tables
min-sum algorithm
Optimization
Optimization techniques
Parity check codes
Performance enhancement
Signal to noise ratio
Table lookup
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Summary:In this brief, we present a hardware efficient implementation of a threshold modified min-sum algorithm (MSA) to improve the performance of a low density parity-check (LDPC) decoder. The proposed architecture introduces a novel lookup table based threshold attenuation technique, called threshold attenuated MSA (TAMSA). The proposed TAMSA implementation is shown to improve bit error rate (BER) performance compared to the conventional AMSA and MSA. Furthermore, a layered version of the TAMSA implementation is investigated to reduce hardware cost. Utilizing circuit optimization techniques, including a parallel computing structure, the proposed layered TAMSA field-programmable gate array (FPGA) implementation results show that the modified architecture requires no extra circuit power or circuit area compared to conventional AMSA, and only 0.07% extra leaf cells compared to conventional MSA.
ISSN:1549-7747
1558-3791
DOI:10.1109/TCSII.2020.3001601