DocumentCode :
2896455
Title :
Reduced-complexity check node processing for non-binary LDPC decoding
Author :
Zhang, Xinmiao ; Cai, Fang
Author_Institution :
Case Western Reserve Univ., Cleveland, OH, USA
fYear :
2010
fDate :
6-8 Oct. 2010
Firstpage :
70
Lastpage :
75
Abstract :
Non-binary low-density parity-check (NB-LDPC) codes can achieve better error-correcting performance than their binary counterparts when the code length is moderate. Check node processing is one bottleneck in NB-LDPC decoding. Various techniques have been proposed to simplify the check node processing. Particularly, the computation complexity can be reduced by employing an iterative forward-backward scheme. However, this scheme requires large memory to store intermediate results. In this paper, a novel check node processing scheme and corresponding VLSI architectures are proposed for the Min-max NB-LDPC decoding. The proposed scheme first chooses a limited number of variable-to-check messages, then the check-to-variable messages to all connected variable nodes are generated independently. Employing the proposed architecture, the area requirement of the check node processing for an (837, 726) NB-LDPC code over GF (25) can be reduced to 22.5% of that of the previous work with the same processing speed and error-correcting performance.
Keywords :
VLSI; error correction codes; iterative decoding; parity check codes; VLSI architectures; check-to-variable messages; error correcting performance; iterative forward-backward scheme; min-max NB-LDPC decoding; nonbinary LDPC decoding; nonbinary low density parity check codes; reduced complexity check node processing; variable-to-check messages; Complexity theory; Computer architecture; Decoding; Logic gates; Medical services; Parity check codes; Random access memory; Check node processing; LDPC decoder; Min-max; Non-binary; VLSI architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Systems (SIPS), 2010 IEEE Workshop on
Conference_Location :
San Francisco, CA
ISSN :
1520-6130
Print_ISBN :
978-1-4244-8932-9
Electronic_ISBN :
1520-6130
Type :
conf
DOI :
10.1109/SIPS.2010.5624765
Filename :
5624765
Link To Document :
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