Combatting co-channel interference in mobile radio systems using a novel non-linear DSP architecture

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 ISI, additive white Gaussian noise and co-channel interference. It is shown through simulation results for a severe amplitude distorted cochannel system, that the decision feedback functional link equalizer (DFFLE) provides significantly superior BER performance characteristics compared to the conventional DFE, the linear transversal equalizer (LTE), and the nonlinear radial basis function (RBF) neural network and feedforward functional link equalizer (FFLE) based structures. The DFFLE is also shown to have a simpler computational requirement relative to the RBF and the FFLE.