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Design for centres of RBF neural networks for fast time-varying channel equalisation

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

A radial basis function (RBF) neural network combined with a channel estimator, is used for fast time-varying channel equalisation. A new method for calculating RBF centres and weights is proposed to reduce the number of hidden units in the high-order RBF equaliser. A Rayleigh fading channel model and 10 million random symbols are used in the simulation studies. Very good equalisation performance is achieved by using a high-order RBF network with only eight centres

Published in:

Electronics Letters  (Volume:32 ,  Issue: 25 )