DocumentCode
745980
Title
Convolutional Code Performance in the Rician Fading Channel
Author
Modestino, James W. ; Mui, Shou Y.
Author_Institution
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY
Volume
24
Issue
6
fYear
1976
fDate
6/1/1976 12:00:00 AM
Firstpage
592
Lastpage
606
Abstract
The performance of short constraint length convolutional codes in conjunction with binary phase-shift keyed (BPSK) modulation and Viterbi maximum likelihood decoding on the classical Rician fading channel is examined in detail. Primary interest is in the bit error probability performance as a function of
parameterized by the fading channel parameters. Fairly general upper bounds on bit error probability performance in the presence of fading are obtained and compared with simulation results in the two extremes of zero channel memory and infinite channel memory. The efficacy of simple block interleaving in combating the memory of the channel is thoroughly explored. Results include the effects of fading on tracking loop performance and the subsequent impact on overall coded system performance. The approach is analytical where possible; otherwise resort is made to digital computer simulation.
parameterized by the fading channel parameters. Fairly general upper bounds on bit error probability performance in the presence of fading are obtained and compared with simulation results in the two extremes of zero channel memory and infinite channel memory. The efficacy of simple block interleaving in combating the memory of the channel is thoroughly explored. Results include the effects of fading on tracking loop performance and the subsequent impact on overall coded system performance. The approach is analytical where possible; otherwise resort is made to digital computer simulation.Keywords
Convolutional codes; Fading channels; PSK signal detection; Viterbi decoding; Binary phase shift keying; Convolutional codes; Error probability; Fading; Maximum likelihood decoding; Modulation coding; Phase modulation; Rician channels; Upper bound; Viterbi algorithm;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOM.1976.1093351
Filename
1093351
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