TY - GEN
T1 - Structured LDPC codes from permutation matrices free of small trapping sets
AU - Nguyen, Dung Viet
AU - Vasić, Bane
AU - Marcellin, Michael
AU - Chilappagari, Shashi Kiran
PY - 2010
Y1 - 2010
N2 - This paper introduces a class of structured low-density parity-check (LDPC) codes whose parity check matrices are arrays of permutation matrices. The permutation matrices are obtained from Latin squares and form a finite field under some matrix operations. They are chosen so that the Tanner graphs do not contain subgraphs harmful to iterative decoding algorithms. The construction of column-weight-three codes is presented. Although the codes are optimized for the Gallager A/B algorithm over the binary symmetric channel (BSC), their error performance is very good on the additive white Gaussian noise channel (AWGNC) as well.
AB - This paper introduces a class of structured low-density parity-check (LDPC) codes whose parity check matrices are arrays of permutation matrices. The permutation matrices are obtained from Latin squares and form a finite field under some matrix operations. They are chosen so that the Tanner graphs do not contain subgraphs harmful to iterative decoding algorithms. The construction of column-weight-three codes is presented. Although the codes are optimized for the Gallager A/B algorithm over the binary symmetric channel (BSC), their error performance is very good on the additive white Gaussian noise channel (AWGNC) as well.
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U2 - 10.1109/CIG.2010.5592767
DO - 10.1109/CIG.2010.5592767
M3 - Conference contribution
AN - SCOPUS:80051953637
SN - 9781424482641
T3 - 2010 IEEE Information Theory Workshop, ITW 2010 - Proceedings
BT - 2010 IEEE Information Theory Workshop, ITW 2010 - Proceedings
T2 - 2010 IEEE Information Theory Workshop, ITW 2010
Y2 - 30 August 2010 through 3 September 2010
ER -