DocumentCode
794363
Title
Parallel processing for fast iterative decoding of orthogonal convolutional codes
Author
He, Yu-Cheng ; Haccoun, David ; Cardinal, Christian
Author_Institution
Dept. of Electr. Eng., Ecole Polytech. de Montreal, Que.
Volume
10
Issue
9
fYear
2006
Firstpage
664
Lastpage
666
Abstract
An efficient parallel processing mode is proposed for fast decoding of orthogonal convolutional codes using the forward-only iterative belief propagation algorithm. This iterative decoding can approach the speed of one-step decoding while providing useful tradeoffs between decoding speed and error performance. The error performances of two convolutional self-doubly-orthogonal codes are obtained by simulation, and compared to their asymptotic performances
Keywords
convolutional codes; iterative decoding; parallel processing; belief propagation algorithm; iterative decoding; orthogonal convolutional code; parallel processing; AWGN; Belief propagation; Binary phase shift keying; Convolutional codes; Helium; Interleaved codes; Iterative algorithms; Iterative decoding; Iterative methods; Parallel processing;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2006.1714538
Filename
1714538
Link To Document