Glance on the Convergence of Godard Blind Equalization: Review

Abstract

This paper studies the convergence of Godard blind equalization which based on least mean square (LMS) algorithm. It focuses on studying the effect of changing the step-size of LMS algorithm on the convergence of Godard algorithm. Simulation results show that the increase in step-size has negative impact on the convergence.