DocumentCode
3519661
Title
A robust adaptive FIR filter based on M-estimation
Author
Song, Zhihuan ; Gao, Yanchen ; Lu, Lihua ; Li, Ping
Author_Institution
Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China
Volume
2
fYear
2004
fDate
15-19 June 2004
Firstpage
1543
Abstract
This paper suggests a novel approach for design of robust adaptive FIR filter. From the point of view of robustness, a M-estimation regression-based is presented to improve the noise-immune capability of least square (LS) algorithm. Two sorts of algorithms for robust estimation are introduced. A robust design method of adaptive FIR filters is proposed based on the M-estimation. Finally, the results of simulation show that it is feasible and effective.
Keywords
FIR filters; adaptive filters; identification; least mean squares methods; stability; finite impulse response filter; least square algorithm; robust adaptive FIR filter; robust estimation; system identification; Design automation; Electronic mail; Finite impulse response filter; Industrial control; Information technology; Laboratories; Metals industry; Noise robustness; Paper technology; Process control;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1340907
Filename
1340907
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