A NEW ADAPTIVE FUNCTIONAL-LINK NEURAL-NETWORK-BASED DFE FOR OVERCOMING COCHANNNEL 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 int erference (CGI), It is shown through simulation results for a severe a mplitude distorted cochannel system that the decision feedback functio nal-link equalizer (DFFLE) provides significantly superior bit-error r ate (BER) performance characteristics compared to the conventional DFE , the linear transversal equalizer (LTE), the nonlinear radial basis f unction (RBF) neural-network-based structures and the feedforward func tional-link equalizer (FFLE)-based structures, The DFFLE is also shown to have a significantly Simpler computational requirement relative to the RBF and the FFLE.