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A new adaptive functional-link neural-network-based DFE for overcoming co-channel interference

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3 Author(s)
Hussain, A. ; Signal Process. Div., Strathclyde Univ., Glasgow, UK ; Soraghan, J.J. ; Durrani, T.S.

A new approach for the decision feedback equalizer (DFE) based on the functional-link neural network is described. The structure is applied to the problem of adaptive equalization in the presence of intersymbol interference (ISI), additive white Gaussian noise, and co-channel interference (CCI). It is shown through simulation results for a severe amplitude distorted co-channel system that the decision feedback functional-link equalizer (DFFLE) provides significantly superior bit-error rate (BER) performance characteristics compared to the conventional DFE, the linear transversal equalizer (LTE), the nonlinear radial basis function (RBF) neural-network-based structures and the feed-forward functional-link equalizer (FFLE)-based structures. The DFFLE is also shown to have a significantly simpler computational requirement relative to the RBF and the FFLE

Published in:

Communications, IEEE Transactions on  (Volume:45 ,  Issue: 11 )

Date of Publication:

Nov 1997

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