Title :
On the error-correcting capabilities of low-complexity decoded irregular LDPC codes
Author_Institution :
Inst. for Inf. Transm. Problems, Moscow, Russia
fDate :
June 29 2014-July 4 2014
Abstract :
This paper deals with the irregular binary low-density parity-check (LDPC) codes with the constituent single parity check (SPC) codes and the error-correcting iterative low-complex decoding algorithm. The lower bound on the error fraction, guaranteed corrected by the considered iterative algorithm, was obtained for the irregular LDPC code for the first time in this paper. This lower bound was obtained as a result of analysis of Tanner graph representation of irregular LDPC code. The number of decoding iterations, required to correct the errors, is a logarithmic function of the code length. The numerical results, obtained at the end of the paper for proposed lower bound achieved similar results for the previously known best lower-bounds for regular LDPC codes and were represented for the first time for the irregular LDPC codes.
Keywords :
binary codes; error correction codes; iterative decoding; parity check codes; SPC codes; Tanner graph representation analysis; code length; error fraction; error-correcting capability; error-correcting iterative low-complex decoding algorithm; irregular LDPC codes; irregular binary low-density parity-check codes; logarithmic function; lower bound; regular LDPC codes; single parity check codes; Decoding; Estimation; Iterative decoding; Polynomials; Sockets;
Conference_Titel :
Information Theory (ISIT), 2014 IEEE International Symposium on
Conference_Location :
Honolulu, HI
DOI :
10.1109/ISIT.2014.6875418