DocumentCode :
903970
Title :
Sequential sequence estimation for multiple-channel systems with intersymbol and interchannel interference
Author :
Xiong, Fuqin ; Shwedyk, Edward
Author_Institution :
Manitoba Univ., Winnipeg, Man., Canada
Volume :
41
Issue :
2
fYear :
1993
fDate :
2/1/1993 12:00:00 AM
Firstpage :
322
Lastpage :
331
Abstract :
A vector sequential sequence estimator is proposed for multiple-channel systems with both intersymbol interference (ISI) and interchannel interference (ICI). Both finite ISI-ICI and infinite ISI-ICI are considered. The estimator consists of a multiple-dimensional whitened matched filter and a vector sequential decoder. The metric of the sequential algorithm is derived, and the algorithm´s performance is analyzed. Computer simulation results for a two-dimensional finite ISI-ICI channel and a two-dimensional infinite ISI-ICI channel are presented. Analysis and simulation show that the symbol error probability of the vector sequential algorithm is essentially the same as for maximum-likelihood sequence estimation using the vector Viterbi algorithm, while its average computational complexity is much less, although computation per symbol is a random variable with the Pareto distribution. There exists a signal-to-noise ratio above which the ensemble average computation is bounded. An upper bound on this ratio is found
Keywords :
computational complexity; convolutional codes; decoding; intersymbol interference; matched filters; telecommunication channels; ICI; ISI; Pareto distribution; computational complexity; convolutional codes; finite channel; infinite channel; interchannel interference; intersymbol interference; multiple-channel systems; multiple-dimensional whitened matched filter; sequential algorithm; sequential sequence estimation; signal-to-noise ratio; symbol error probability; upper bound; vector sequential decoder; vector sequential sequence estimator; Algorithm design and analysis; Analytical models; Computational modeling; Computer simulation; Interchannel interference; Intersymbol interference; Matched filters; Maximum likelihood decoding; Pareto analysis; Performance analysis;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/26.216507
Filename :
216507
Link To Document :
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