A complex valued radial basis function network for equalization of fast time varying channels

Citation
Q. Gan et al., A complex valued radial basis function network for equalization of fast time varying channels, IEEE NEURAL, 10(4), 1999, pp. 958-960
Citations number
7
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
IEEE TRANSACTIONS ON NEURAL NETWORKS
ISSN journal
10459227 → ACNP
Volume
10
Issue
4
Year of publication
1999
Pages
958 - 960
Database
ISI
SICI code
1045-9227(199907)10:4<958:ACVRBF>2.0.ZU;2-Z
Abstract
This paper presents a complex valued radial basis function (RBF) network fo r equalization of fast time varying channels. A new method for calculating the centers of the REP network is given. The method allows fixing the numbe r of RBF centers even as the equalizer order is increased so that a good pe rformance is obtained by a high-order RBF equalizer with small number of ce nters, Simulations are performed on time varying channels using a Rayleigh fading channel model to compare the performance of our RBF with an adaptive maximum-likelihood sequence estimator (MLSE) consisting of a channel estim ator and a MLSE implemented by the Viterbi algorithm. The results show that the RBF equalizer produces superior performance with less computational co mplexity.