Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPatra, S K-
dc.contributor.authorMulgrew, B-
dc.identifier.citationIEE Proceedings - Communications, Vol 145, Iss 5, P 323-330en
dc.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
dc.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
dc.format.extent847555 bytes-
dc.subjectBayes Methodsen
dc.subjectfuzzy systemsen
dc.subjectcomputational complexityen
dc.subjectcochannel interferenceen
dc.titleFuzzy implementation of a Bayesian equaliser in the presence of intersymbol and co-channel interferenceen
Appears in Collections:Journal Articles

Files in This Item:
File Description SizeFormat 
skp5.pdf827.69 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.