Equalization of nonlinear communication channel based on Hammerstein block structure

The amplifiers that are used on communication systems in order to increase the productivity, are worked on the nonlinear region. Therefore, digital communication channel can be defined as a Wiener block structure that contains a linear dynamic system and a non-linear static block. In this study, the nonlinear channel equalization problem, a Wiener block structured communication channel is tried to equalize by using a Hammerstein block structure. In order to do that performance of the suggested approach is investigated with LMS and RLS algorithms. The convergence rates of these adaptive algorithms are compared on the real valued data transmission so that LMS algorithm is observed slower convergence but less complex, RLS algorithm is observed much faster convergence rate.