A new artificial neural network based adaptive non-linear equalizer for overcoming co-channel interference

This paper describes a new approach for the Decision Feedback Equalizer (DFE) based on the Functional Link Neural Network. The new structure termed the Decision Feedback Functional Link Equalizer (DFFLE) is applied to the problem of adaptive equalization in the presence of ISI, additive white noise and co-channel interference. It is shown through simulation results for a severe amplitude distorted cc-channel system, that the DFFLE provides significantly superior BER performance characteristics compared to the conventional Linear Transversal Equalizer (LTE) and the recently reported non-linear Radial-Basis Function neural network and Feedforward Functional Link Equalizer (FFLE) based structures.