Kurtosis-Driven Variable Step Size Blind Equalization Algorithm With Constant Module

摘要

This paper presents a new variable step size blind equalization algorithm with constant module which utilizes the kurtosis of the remained error to adaptively change the step size and analyzes the selection principle of the parameters α and β. Both the theoretical analysis and simulation show that the new algorithm has faster convergence speed and smaller remained error compared with conventional constant module algorithms.