Title :
A Gradient-Based Variable Step-Size Scheme for Kurtosis of Estimated Error
Author :
Hwang, Jeng-Kuang ; Li, Yuan-Ping
Author_Institution :
Dept. of Commun. Eng., Yuan-Ze Univ., Chungli, Taiwan
fDate :
4/1/2010 12:00:00 AM
Abstract :
This paper proposes a new variable step-size LMS (VSLMS) algorithm with an approach in which a gradient-based weighted average of a kurtosis of an estimated error signal is used to improve the drawback of a previous algorithm for application to an unknown channel estimation. The proposed scheme leads not only to the enhancement of the convergence rate, but also to robustness in terms of low-SNR environments. It could also lead to obtaining a lower misadjustment error.
Keywords :
adaptive filters; adaptive signal processing; channel estimation; least mean squares methods; adaptive filters; channel estimation; estimated error; gradient-based variable step-size scheme; kurtosis; least mean square; Adaptive filters; channel estimation; kurtosis; least-mean-square (LMS); variable step-size;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2010.2040929
