DocumentCode
1224508
Title
Improved performance adaptive algorithm for system identification under impulsive noise
Author
Stathaki, Tania
Volume
39
Issue
11
fYear
2003
fDate
5/29/2003 12:00:00 AM
Firstpage
878
Lastpage
880
Abstract
The recently introduced normalised robust mixed-norm (NRMN) algorithm improved the performance of its predecessor robust mixed-norm (RMN), proposed for system identification under impulsive noise (IN) environments. The NRMN inherited the mixing parameter of RMN, the definition of which however was not based upon any statistical information for the IN. An improved performance NRMN algorithm is proposed which defines its mixing parameter and normalised step-size in a novel way based upon a model choice for the IN. The proposed algorithm outperforms the NRMN with respect to the convergence rate and misadjustment.
Keywords
adaptive estimation; adaptive filters; convergence of numerical methods; filtering theory; identification; impulse noise; convergence rate; impulsive noise environment; mixing parameter; normalised robust mixed-norm algorithm; normalised step-size; system identification;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20030468
Filename
1207250
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