Nonlinear channel equalization for filtered multi-tone modulation system using functional link artificial neural networks

Decision feedback equalization (DFE) has been widely used to compensate ISI for filter multitone (FMT) systems. However, DFE is limited especially when the nonlinear distortion becomes severe. In this paper, a novel equalizer structure based on FLANN is proposed for FMT system to eliminate the nonlinear distortion caused by the communication channel. The proposed equalizer structure is shown to outperform DFE especially when nonlinear distortion occurs. It can therefore be considered as a better alternative for FMT equalization.