DocumentCode :
1431478
Title :
Deriving Good LDPC Convolutional Codes from LDPC Block Codes
Author :
Pusane, Ali E. ; Smarandache, Roxana ; Vontobel, Pascal O. ; Costello, Daniel J.
Author_Institution :
Dept. of Electr. Eng., Univ. of Notre Dame, Notre Dame, IN, USA
Volume :
57
Issue :
2
fYear :
2011
Firstpage :
835
Lastpage :
857
Abstract :
Low-density parity-check (LDPC) convolutional codes are capable of achieving excellent performance with low encoding and decoding complexity. In this paper, we discuss several graph-cover-based methods for deriving families of time-invariant and time-varying LDPC convolutional codes from LDPC block codes and show how earlier proposed LDPC convolutional code constructions can be presented within this framework. Some of the constructed convolutional codes significantly outperform the underlying LDPC block codes. We investigate some possible reasons for this “convolutional gain,” and we also discuss the-mostly moderate-decoder cost increase that is incurred by going from LDPC block to LDPC convolutional codes.
Keywords :
block codes; convolutional codes; parity check codes; LDPC block code; graph-cover-based method; low density parity check convolutional code; time invariant code; time varying LDPC convolutional code; Block codes; convolutional codes; low-density parity-check (LDPC) codes; message-passing iterative decoding; pseudocodewords; pseudoweights; quasi-cyclic codes; unwrapping; wrapping;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2010.2095211
Filename :
5695133
Link To Document :
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