DocumentCode :
2061408
Title :
Reduced complexity decoding strategies for LDPC convolutional codes
Author :
Pusane, Ali E. ; Lentmaier, M. ; Zigangirov, K.Sh. ; Costello, D.J., Jr.
Author_Institution :
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
fYear :
2004
fDate :
June 27 2004-July 2 2004
Firstpage :
490
Abstract :
While low-density parity-check (LDPC) convolutional codes tend to significantly outperform LDPC block codes with the same processor complexity, large storage requirements and a long initial decoding delay are two issues related to their continuous pipeline decoding architecture [A. Jimenez Feltstrom et al., (1999)]. In this paper, we propose reduced complexity decoding strategies to lessen the storage requirements and the initial decoding delay without significant loss in performance.
Keywords :
convolutional codes; decoding; parity check codes; LDPC convolutional code; low-density parity-check code; pipeline decoding architecture; processor complexity decoding delay strategy; storage requirement; AWGN; Bit error rate; Block codes; Convolutional codes; Degradation; Delay; Equations; Iterative decoding; Parity check codes; Pipelines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-8280-3
Type :
conf
DOI :
10.1109/ISIT.2004.1365528
Filename :
1365528
Link To Document :
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