DocumentCode
1379953
Title
Compensation for saturation effects in FIR-NLMS system identification
Author
Handel, Peter
Author_Institution
Dept. of Signals, Sensors & Syst., R. Inst. of Technol., Stockholm
Volume
34
Issue
4
fYear
1998
fDate
2/19/1998 12:00:00 AM
Firstpage
411
Lastpage
412
Abstract
An adaptive scheme is derived to be used in combination with the normalised least mean squares algorithm for finite impulse response models (FIR-NLMS) to combat nonlinear imperfections of the plant to be identified. The scheme is shown to outperform FIR-NLMS when a test system that consists of a variable static nonlinearity in cascade with a linear filter is identified
Keywords
adaptive estimation; identification; least mean squares methods; FIR-NLMS system identification; adaptive scheme; finite impulse response model; linear filter; nonlinear imperfections; normalised least mean squares algorithm; saturation effects; variable static nonlinearity;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19980311
Filename
675740
Link To Document