DocumentCode
771804
Title
Decoding LDPC Codes Over Integer Residue Rings
Author
Armand, Marc A. ; Ng, K.S.
Author_Institution
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore
Volume
52
Issue
10
fYear
2006
Firstpage
4680
Lastpage
4686
Abstract
This correspondence presents a multistage decoding approach for a free Zopfq-submodule of Zopfq N of rank K defined by a sparse (N-K)timesN parity-check matrix overZopf q where q=pm, p=2 and m>1. The proposed method involves the repeated application of belief propagation decoding to exploit the natural ring epimorphism ZopfqrarrZopfp l:r|rarr Sigma i=0 l-1r(i)pi with kernel p lZopfq for each l, 1lesllesm, where Sigma i=0 m-1r(i)pi is the p-adic expansion of r. Computer simulations for codes of rate half and moderate length on an additive white Gaussian noise (AWGN) channel with various modulation schemes show that such a decoding strategy offers an additional coding gain of between 0.07-0.1 dB over a single-stage decoding approach
Keywords
AWGN channels; channel coding; decoding; modulation coding; parity check codes; sparse matrices; AWGN; LDPC code; additive white Gaussian noise channel; belief propagation decoding; integer residue ring; low-density parity check code; modulation scheme; multistage decoding approach; sparse matrix; AWGN; Additive white noise; Application software; Belief propagation; Bit error rate; Computer simulation; Maximum likelihood decoding; Modular construction; Modulation coding; Parity check codes; Belief propagation decoding; integer residue rings; low-density parity-check (LDPC) codes; multistage decoding;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2006.881732
Filename
1705029
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