An estimation-based approach to the design of adaptive IIR filters

Author

Sayyarrodsari, Bijan ; How, Jonathan P. ; Hassibi, Babak ; Carrier, Alain

Author_Institution

Dept. of Electr. Eng., Stanford Univ., CA, USA

Volume

5

fYear

1998

fDate

21-26 Jun 1998

Firstpage

3148

Abstract

We present an estimation-based approach to the design of adaptive IIR filters. We also use this approach to design adaptive filters when a feedback signal from the output of the adaptive filter contaminates the reference signal. We use an H_∞ criterion to cast the problem as a nonlinear H_∞ filtering problem, and present an approximate linear H_∞ filtering solution. This linear filtering solution is then used to adapt the adaptive IIR Filter. The presentation of the proposed adaptive algorithm is done in the context of an adaptive active noise cancellation problem. Simulations are used to examine the performance of the proposed estimation-based adaptive algorithm

Keywords

H^∞ optimisation; IIR filters; active noise control; adaptive filters; feedback; filtering theory; parameter estimation; H_∞ filtering; IIR Filter; active noise cancellation; adaptive filters; feedback signal; parameter estimation; Adaptive algorithm; Adaptive filters; Filtering; IIR filters; Linear approximation; Maximum likelihood detection; Noise cancellation; Nonlinear filters; Output feedback; Signal design;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1998. Proceedings of the 1998

Conference_Location

Philadelphia, PA

ISSN

0743-1619

Print_ISBN

0-7803-4530-4

Type

conf

DOI

10.1109/ACC.1998.688442

Filename

688442