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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/26

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contributor.authorPatra, S K-
contributor.authorMulgrew, B-
identifier.citationIEE Proceedings - Communications, Vol 145, Iss 5, P 323-330en
descriptionPersonal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEen
description.abstractThe authors investigate the problem of channel equalisation in the presence of co-channel interference (CCI), intersymbol interference and additive white Gaussian noise. The optimal Bayesian decision feedback equaliser decision function for this problem is derived and an elegant fuzzy implementation of the optimal solution is proposed. This fuzzy implemented equaliser is able to provide performance close to the optimal equaliser with a substantial reduction in computational complexity. The equaliser consists of a fuzzy equaliser with an input processing block for co-channel compensation. This preprocessor can be used under severe-to-moderate CCI and can be removed under low CCI conditions. Simulation studies demonstrate the performance of the fuzzy equaliser developeden
format.extent847555 bytes-
subjectBayes Methodsen
subjectfuzzy systemsen
subjectcomputational complexityen
subjectcochannel interferenceen
titleFuzzy implementation of a Bayesian equaliser in the presence of intersymbol and co-channel interferenceen
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