Reduced-complexity decision-feedback equalizer for nonlinear channels

This paper deals with the compensation for nonlinear distortions introduced by power-efficient amplifiers on linear modulations by means of equalization. In our approach, we employ a Decision-Feedback Equalizer (DFE) based on the Generalized Cerebellar Model Arithmetic Computer. The new scheme is compared with the conventional Linear DFE, the Volterra and the Multi-Layer Perceptron-based DFE in terms of their convergence rates, Bit-error rates and Signal-to-Noise Ratio degradation.