Variable tap-length adaptive algorithm which exploits both second and fourth order statistics

Author

Zhang, Yonggang ; Li, Leilei ; Chambers, Jonathon A.

Author_Institution

Adv. Signal Process. Group, Loughborough Univ., Loughborough

fYear

2008

Firstpage

223

Lastpage

226

Abstract

A new variable tap-length adaptive algorithm which exploits both second and fourth order statistics is proposed in this paper. In this algorithm, the tap-length of the adaptive filter is varying rather than fixed, and controlled by fourth order statistics, whereas the coefficient update retains a conventional least mean square (LMS) form. As will be seen in the simulation results, the proposed algorithm has a faster convergence rate as compared with an existing variable tap-length LMS algorithm which is based only on second order statistics in sub-Gaussian noise environments.

Keywords

Gaussian noise; adaptive filters; convergence of numerical methods; higher order statistics; least mean squares methods; LMS algorithm; adaptive filter; convergence rate; fourth order statistics; least mean square algorithm; second order statistics; sub-Gaussian noise environments; variable tap-length adaptive algorithm; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Convergence; Least squares approximation; Mean square error methods; Noise robustness; Signal processing algorithms; Statistics; Working environment noise; Adaptive filters; LMS algorithm; fourth order statistics; variable tap-length;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2008. ICSP 2008. 9th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2178-7

Electronic_ISBN

978-1-4244-2179-4

Type

conf

DOI

10.1109/ICOSP.2008.4697111

Filename

4697111