A fuzzy logic based adaptive whitening for blind channel equalization

The use of a blind adaptive whitening filter to improve performance of a blind equalizer adapted by the constant modulus algorithm (CMA) is investigated in this paper. Since the desired performance can not be achieved by the least mean squares (LMS) algorithm for linear estimation in adaptive whitening filter, it is aimed that a fuzzy logic is adapted to increase convergence rate. The simulation results show that the proposed method increases the performance of blind equalizer significantly with whitening filter adapted by LMS algorithm.