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

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 (CGI), It is shown through simulation results for a severe amplitude distorted cochannel 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 feedforward 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.