Widely Linear Blind Equalization Algorithms for Nonlinear Channels Based on the Hammerstein Model
Zhang Tin · 2015
In order to improve the performance of nonlinear channel blind equalizers and reduce the complexity,the Hammerstein model is introduced to simulate the nonlinear channel instead of traditional Yolterra series model.Then a new nonlinear channel WL blind equalizer based on Wiener model is produced by use of the noncircularity of received signals which are transmitted by nonlinear channels,thus the nonlinear channel WL constant modulus algorithm(NCWL-CMA) and the nonlinear channel WL constant modulus Newton-like algorithm(NCWLrCMA Newton-like) are proposed.Theoretical analysis and simulation results show that the new algorithms can significantly reduce the intersymbol interference and improve the convergence rate in comparison with the traditional blind equalization algorithms.