DocumentCode :
3067781
Title :
Improved adaptive belief propagation decoding using edge-local complementation
Author :
Knudsen, Joakim Grahl ; Riera, Constanza ; Danielsen, Lars Eirik ; Parker, Matthew G. ; Rosnes, Eirik
Author_Institution :
Dept. of Inf., Univ. of Bergen, Bergen, Norway
fYear :
2010
fDate :
13-18 June 2010
Firstpage :
774
Lastpage :
778
Abstract :
This work is an extension of our previous work on an iterative soft-decision decoder for high-density parity-check codes, using a graph-local operation known as edge-local complementation (ELC). Inferred least reliable codeword positions are targeted by an ELC stage in between sum-product algorithm iterations. A gain is shown over related iterative decoding algorithms - mainly due to an improved heuristic to determine optimum ELC locations in the Tanner graph - both in error-rate performance, as well as complexity in terms of a significant reduction in the required number of ELC operations. We also present a novel damping operation, generalized to the graph-local setting where extrinsic information remains on edges not affected by ELC.
Keywords :
graph theory; iterative decoding; parity check codes; Tanner graph; adaptive belief propagation decoding; damping operation; edge-local complementation; graph-local operation; graph-local setting; high-density parity-check codes; iterative decoding; iterative soft-decision decoder; Belief propagation; Damping; Educational institutions; Informatics; Iterative algorithms; Iterative decoding; Parity check codes; Performance gain; Reed-Solomon codes; Sum product algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-7890-3
Electronic_ISBN :
978-1-4244-7891-0
Type :
conf
DOI :
10.1109/ISIT.2010.5513625
Filename :
5513625
Link To Document :
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