A set-membership affine projection algorithm with adaptive error bound

Author

Bhotto, Md Zulfiquar Ali ; Antoniou, Andreas

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Victoria, Victoria, BC

fYear

2009

fDate

3-6 May 2009

Firstpage

894

Lastpage

897

Abstract

A new set-membership affine projection (SM-AP) algorithm for adaptive filtering applications is proposed. The new SMAP algorithm eliminates the error-bound estimation problem of the conventional SM-AP algorithm. The poor tracking performance in nonstationary environments of the conventional SM-AP algorithm is also considered. A solution to this problem is proposed by incorporating a switching mechanism in the proposed SM-AP algorithm. The new SM-AP algorithm has better convergence efficiency and yields lower misadjustment than the conventional AP algorithm. On the other hand, with the switching mechanism it has better convergence efficiency and yields lower misadjustment than the conventional SM-AP algorithm in nonstationary environments.

Keywords

adaptive filters; adaptive error bound; adaptive filtering; convergence efficiency; set-membership affine projection algorithm; switching mechanism; Adaptive filters; Computational complexity; Computer errors; Convergence; Electronic mail; Estimation error; Filtering algorithms; Least squares approximation; Projection algorithms; Samarium; Adaptive filters; adaptive error bound; set-membership affine projection algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2009. CCECE '09. Canadian Conference on

Conference_Location

St. John´s, NL

ISSN

0840-7789

Print_ISBN

978-1-4244-3509-8

Electronic_ISBN

0840-7789

Type

conf

DOI

10.1109/CCECE.2009.5090257

Filename

5090257