Adaptive RLS filtering under the cyclo-stationary regime

Author

Lev-Ari, Hanoch

Author_Institution

Center for Commun. & Digital Signal Processing, Northeastern Univ., Boston, MA, USA

Volume

4

fYear

1998

fDate

12-15 May 1998

Firstpage

2185

Abstract

We present a methodology for adaptive filtering and system identification under the cyclostationary regime. Our technique is based on a deterministic periodic least-squares criterion, and gives rise to adaptive periodic recursive-least-squares (P-RLS) algorithms. Furthermore, we show that every adaptive RLS algorithm has a P-RLS counterpart, which has exactly the same architecture and the same performance attributes, and differs only in the length of the delay used in its time-update recursions

Keywords

adaptive filters; filtering theory; least squares approximations; parameter estimation; recursive estimation; RLS filtering; adaptive filtering; adaptive periodic recursive-least-squares algorithms; cyclostationary regime; deterministic periodic least-squares criterion; system identification; time-update recursions; Adaptive algorithm; Adaptive filters; Additive noise; Algorithm design and analysis; Delay; Digital signal processing; Filtering; Resonance light scattering; Signal processing algorithms; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on

Conference_Location

Seattle, WA

ISSN

1520-6149

Print_ISBN

0-7803-4428-6

Type

conf

DOI

10.1109/ICASSP.1998.681580

Filename

681580