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

Title: Fuzzy implementation of a Bayesian equaliser in the presence of intersymbol and co-channel interference
Authors: Patra, S K
Mulgrew, B
Keywords: AWGN
Bayes Methods
fuzzy systems
computational complexity
cochannel interference
Issue Date: Oct-1998
Publisher: IEE
Citation: IEE Proceedings - Communications, Vol 145, Iss 5, P 323-330
Abstract: The 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 developed
Description: Personal 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 IEE
URI: http://hdl.handle.net/2080/26
ISSN: 1350-2425
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