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

Authors:
Q. Gan;P. Saratchandran;N. Sundararajan;K. R. Subramanian
Affiliations:
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst.;-;-;-
Venue:
IEEE Transactions on Neural Networks
Year:
1999

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Abstract

This paper presents a complex valued radial basis function (RBF) network for equalization of fast time varying channels. A new method for calculating the centers of the RBF network is given. The method allows fixing the number of RBF centers even as the equalizer order is increased so that a good performance is obtained by a high-order RBF equalizer with small number of centers. 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 estimator and a MLSE implemented by the Viterbi algorithm. The results show that the RBF equalizer produces superior performance with less computational complexity