NDLI: Bit-Reliability Based Low-Complexity Decoding Algorithms for Non-Binary LDPC Codes

Content Provider	IEEE Xplore Digital Library
Author	Qin Huang Mu Zhang Zulin Wang Lu Wang
Copyright Year	1972
Abstract	This paper presents bit-reliability based majority-logic decoding (MLgD) algorithms for non-binary LDPC codes. The proposed algorithms pass only one Galois field element and its reliability along each edge of the Tanner graph of a non-binary LDPC code. Since their reliability updates are in terms of bits rather than symbols, they are more efficient than traditional MLgD based decoding algorithms. By weighting the soft reliability of the extrinsic information-sums based on their hard reliability, the proposed algorithms can achieve good error performance for non-binary LDPC codes with various column weights. Moreover, their computational complexity and memory consumption are remarkably reduced compared with existing MLgD based decoding algorithms. As a result, they provide effective tradeoffs between error performance and complexity for decoding of non-binary LDPC codes.
Starting Page	4230
Ending Page	4240
Page Count	11
File Size	927911
File Format	PDF
ISSN	00906778
Volume Number	62
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hamming distance Decoding Computational complexity Iterative decoding Parity check codes Non-binary LDPC codes majority-logic decoding bit-reliability binary representation hamming distance
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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