NDLI: Importance sampling simulation methods for recursive and non-recursive symbol-by-symbol detectors

Content Provider	IEEE Xplore Digital Library
Author	Iltis, R.A.
Copyright Year	1993
Description	Author affiliation: Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA (Iltis, R.A.)
Abstract	An importance sampling (IS) simulation method is developed for evaluating the bit-error rate of one-shot and recursive Bayesian equalizers (symbol-by-symbol detectors.) It is shown that the one-shot Bayesian equalizer structure closely resembles that of a multi-user detector for CDMA. Hence, noise biasing IS methods developed previously for CDMA detectors should also be appropriate for Bayesian equalizers. At low SNRs, the decision boundary far the one-shot Bayesian equalizer approaches a hyperplane. This hyperplane is viewed as an approximation to the true decision boundary at high SNRs, and can thus be used to construct an appropriate noise bias vector. With a slight modification, it is shown that the IS technique for the one-shot Bayesian equalizer can also be applied to the Abend and Fritchman (1970) recursive algorithm, and finally, to an adaptive Bayesian blind equalizer. IS simulations are carried out for both the nonadaptive Bayesian equalizers and for the blind recursive equalizer.
Starting Page	108
Ending Page	112
File Size	447236
Page Count	5
File Format	PDF
ISBN	0780309170
DOI	10.1109/GLOCOM.1993.318438
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-11-29
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Monte Carlo methods Bayesian methods Detectors Gunshot detection systems Computational modeling Blind equalizers Bit error rate Multiaccess communication Niobium Information processing
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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