Title :
Improving spatially coupled LDPC codes by connecting chains
Author :
Truhachev, Dmitry ; Mitchell, David ; Lentmaier, Michael ; Costello, Daniel J.
Author_Institution :
Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
Abstract :
In this paper, we study ensembles of connected spatially coupled low-density parity-check codes (SC-LDPCCs), i.e., ensembles described by graphs in which regular SC-LDPCC chains of various lengths serve as edges. We show that, by carefully connecting individual SC-LDPCC chains, we obtain LDPC code ensembles with improved iterative decoding thresholds compared to those of a single coupled chain, in addition to reducing the decoding complexity required to achieve a specific bit error probability. Moreover, we show that, like the component SC-LDPCC chains, the proposed constructions have a typical minimum distance that grows linearly with block length.
Keywords :
block codes; error statistics; iterative decoding; parity check codes; probability; SC-LDPCC chains; bit error probability; block length; connecting chains; iterative decoding thresholds; spatially coupled LDPC codes; Block codes; Convolutional codes; Couplings; Error probability; Iterative decoding; Joining processes;
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2012.6284232