On radial basis function network equalization in the GSM system
نویسندگان
چکیده
In this paper we have studied adaptive equalization in the GSM (Global System for Mobile communications) environment using radial basis function (RBF) networks. Equalization is here considered as a classification problem, where the idea is to map the received complex-valued signal into desired binary values using RBF network equalizer. Results prove that the RBF network provides very good bit error rates with acceptable computational complexity. Performance comparisons are made to a linear equalizer, a multilayer perceptron (MLP) network equalizer and to a Viterbi equalizer. ESANN'2003 proceedings European Symposium on Artificial Neural Networks Bruges (Belgium), 23-25 April 2003, d-side publi., ISBN 2-930307-03-X, pp. 179-184
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