DocumentCode
977805
Title
Sequential decoding using a priori information
Author
Weiss, C. ; Riedel, S. ; Hagenauer, J.
Author_Institution
Dept. of Commun., Tech. Univ. of Munich, Germany
Volume
32
Issue
13
fYear
1996
fDate
6/20/1996 12:00:00 AM
Firstpage
1190
Lastpage
1191
Abstract
A metric for sequential decoding, based on the well known Fano metric, is proposed. It is suitable for using a priori information about the source bit probability in addition to soft inputs. The advantage of this approach is a considerable reduction in the achievable bit error rate (BER) and the corresponding computational complexity of the sequential decoding algorithm (Pareto distribution). Furthermore, channel state information can easily be taken into account in this metric by applying log-likelihood ratios. Additional improvements are possible for systematic convolutional codes. Simulation results are presented for two different binary sources
Keywords
computational complexity; convolutional codes; error statistics; sequential decoding; BER reduction; Fano metric; Pareto distribution; a priori information; binary sources; bit error rate; channel state information; computational complexity; convolutional codes; decoding algorithm; log-likelihood ratios; sequential decoding; soft inputs; source bit probability;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19960815
Filename
502995
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