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

Citation

Hussain A, Soraghan JJ & Durrani T (1997) A new adaptive functional-link neural-network-based DFE for overcoming co-channel interference. IEEE Transactions on Communications, 45 (11), pp. 1358-1362. https://doi.org/10.1109/26.649741

Abstract
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.

Keywords
co-channel interference suppression; decision feedback equalizers; neural networks

Journal
IEEE Transactions on Communications: Volume 45, Issue 11

People

Professor Tariq Durrani

Honorary Professor, Computing Science