Adaptive RLS filters with linear and quadratic constraints

Author

Tuthill, J. ; Leung, Y.H. ; Thng, I.

Author_Institution

Australian Telecommun. Res. Inst., Curtin Univ. of Technol., Bentley, WA, Australia

Volume

2

fYear

1995

fDate

9-12 May 1995

Firstpage

1424

Abstract

In many adaptive signal processing applications, it is often desired to impose linear and quadratic constraints on the adaptive filter weights in order to meet certain performance criteria. The paper presents a modification of the well-known adaptive RLS or FLS algorithm to achieve this. By way of illustration, the paper considers an adaptive narrowband beamformer with first and second order spatial derivative constraints. The performance of the algorithm is studied via computer simulations

Keywords

adaptive filters; adaptive signal processing; array signal processing; least squares approximations; minimisation; recursive filters; FLS algorithm; RLS algorithm; adaptive RLS filters; adaptive narrowband beamformer; adaptive signal processing; filter weights; linear constraints; performance criteria; quadratic constraints; spatial derivative constraints; Adaptive filters; Adaptive signal processing; Australia; Constraint optimization; Narrowband; Nonlinear filters; Power generation; Resonance light scattering; Signal processing algorithms; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.480550

Filename

480550