DocumentCode :
3010059
Title :
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
Link To Document :
بازگشت