DocumentCode :
45344
Title :
Bahl–Cocke–Jelinek–Raviv decoding algorithm applied to the three-user binary adder channel
Author :
Alcoforado, Maria de Lourdes M. G. ; Oliveira, Mariana C. C. ; da Rocha, Valdemar C.
Author_Institution :
Telecommun. Lab., Univ. of Pernambuco, Recife, Brazil
Volume :
9
Issue :
7
fYear :
2015
fDate :
5 7 2015
Firstpage :
897
Lastpage :
902
Abstract :
The Bahl-Cocke-Jelinek-Raviv (BCJR) algorithm is a well-known maximum a posteriori probability decoding algorithm which has been proposed earlier for point to point communication applications, employing block codes or convolutional codes and turbo codes. This study describes an application of the BCJR algorithm for decoding the output of a multiple-access channel called the noisy three-user binary adder channel, in the presence of additive white Gaussian noise. The computer simulation results are presented for the overall coding performance in terms of bit error rate against signal-to-noise ratio.
Keywords :
AWGN; block codes; convolutional codes; maximum likelihood decoding; multi-access systems; multiuser channels; radio links; turbo codes; BCJR algorithm; Bahl-Cocke-Jelinek-Raviv decoding algorithm; additive white Gaussian noise; block codes; convolutional codes; maximum a posteriori probability decoding algorithm; multiple-access channel; point to point communication applications; three-user binary adder channel; turbo codes;
fLanguage :
English
Journal_Title :
Communications, IET
Publisher :
iet
ISSN :
1751-8628
Type :
jour
DOI :
10.1049/iet-com.2014.0376
Filename :
7095684
Link To Document :
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