DocumentCode
997868
Title
Analytic expressions for the bit error probabilities of rate-1/2 memory 2 convolutional encoders
Author
Lentmaier, Michael ; Truhachev, Dmitri V. ; Zigangirov, Kamil Sh
Author_Institution
Dept. of Inf. Technol., Lund Univ., Sweden
Volume
50
Issue
6
fYear
2004
fDate
6/1/2004 12:00:00 AM
Firstpage
1303
Lastpage
1311
Abstract
Analytic expressions for the exact bit error probabilities of rate R=1/2, memory m=2 convolutional encoders are derived for a maximum-likelihood (ML) decoder and transmission over the binary-symmetric channel (BSC). The resulting expressions are rational functions of the crossover probability of the BSC. In addition to classical nonsystematic encoders without feedback, we consider also recursive systematic encoders, which became especially important as component encoders in concatenated coding schemes. To attest the validity of the results, they are compared to computer simulations. Based on the presented technique also the bit error probability and the probability distribution of the output log-likelihood ratios of the Max-Log-MAP algorithm are derived in analytic form.
Keywords
concatenated codes; convolutional codes; error statistics; maximum likelihood decoding; probability; rational functions; binary-symmetric channel; bit error probability; concatenated coding scheme; convolutional encoder; crossover probability; max-log-MAP algorithm; maximum a posteriori algorithm; maximum-likelihood decoding; output log-likelihood ratio; probability distribution; rational function; recursive systematic encoder; Computer simulation; Concatenated codes; Convolutional codes; Error probability; Feedback; Information technology; Iterative decoding; Maximum likelihood decoding; Maximum likelihood estimation; Viterbi algorithm; BSC; Binary-symmetric channel; ML; bit error probability; convolutional codes; decoding; maximum-likelihood;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2004.828105
Filename
1302310
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