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Low error-floor majority-logic decoding based algorithm for non-binary LDPC codes

Authors: Liyuan Song; Mu Zhang 0002; Qin Huang 0002; Zulin Wang;

Low error-floor majority-logic decoding based algorithm for non-binary LDPC codes

Abstract

The traditional majority-logic decoding (MLgD) based algorithms suffer error-floors for decoding non-binary LDPC codes with small column weights. This paper presents a bit-reliability based MLgD (BRB-MLgD) algorithm with low error-floors for non-binary LDPC codes. The proposed algorithm is carried out based on the binary representations of non-binary symbols. The reliability update along each edge of the Tanner graph of a non-binary LDPC code is in terms of bits rather than symbols. Thus, its computational complexity and memory consumption are less than those of the existing MLgD based algorithms. Simulation results indicate that the proposed algorithm can significantly reduce error-floors with small performance degradation in the waterfall region.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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