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

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4 Author(s)
Gan, Q. ; Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore ; Saratchandran, P. ; Sundararajan, N. ; Subramanian, K.R.

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

Published in:

Neural Networks, IEEE Transactions on  (Volume:10 ,  Issue: 4 )

Date of Publication:

Jul 1999

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