DocumentCode :
802900
Title :
Algebraic construction of sparse matrices with large girth
Author :
O´Sullivan, Michael E.
Author_Institution :
Dept. of Math. & Stat., San Diego State Univ., CA
Volume :
52
Issue :
2
fYear :
2006
Firstpage :
718
Lastpage :
727
Abstract :
In this correspondence, we present a method for constructing sparse matrices that have a compact description and whose associated bipartite graphs have large girth. Based on an arbitrary seed matrix of nonnegative integers a new matrix is constructed which replaces each entry of the seed matrix with a sum of permutation matrices. Algebraic conditions that lead to short cycles in the associated bipartite graph are analyzed and methods to achieve large girth in two special cases are presented. In one, all the permutation matrices are circulants; in the other they are all affine permutation matrices. When used to define a low-density parity-check (LDPC) code the compact description should lead to efficient implementation and the large girth to good error correction performance. The method is adaptable to a variety of rates, and a variety of row and column degrees
Keywords :
error correction codes; graph theory; parity check codes; sparse matrices; LDPC; algebraic construction; arbitrary seed matrix; associated bipartite graph; circulant permutation matrix; error correction performance; large girth; low-density parity-check code; nonnegative integer; sparse matrix; Belief propagation; Bipartite graph; Decoding; Error correction codes; Floors; Information theory; Parity check codes; Sparse matrices; Sum product algorithm; Upper bound; Bipartite graph; low-density parity-check (LDPC) codes;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2005.862120
Filename :
1580807
Link To Document :
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