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A class of modified variable step-size NLMS algorithms for system identification

Zhao, Shengkui, Man, Zhihong and Khoo, Suiyang 2009, A class of modified variable step-size NLMS algorithms for system identification, in Institute of Electrical and Electronics Engineers. Conference (4th : 2009 : Xi'an, China), Institute of Electrical and Electronics Engineers, Piscataway, NJ, pp. 2987-2991, doi: 10.1109/ICIEA.2009.5138756.

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Title A class of modified variable step-size NLMS algorithms for system identification
Author(s) Zhao, Shengkui
Man, Zhihong
Khoo, Suiyang
Conference name ICIEA 2009 : 4th IEEE Conference on Industrial Electronics and Applications
Conference location Xi'an, China
Conference dates 25-27 May 2009
Title of proceedings Institute of Electrical and Electronics Engineers. Conference (4th : 2009 : Xi'an, China)
Editor(s) [Unknown]
Publication date 2009
Conference series IEEE Conference on Industrial Electronics and Applications
Start page 2987
End page 2991
Total pages 5
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, NJ
Keyword(s) least mean square
variable step-size
system identification
Summary This paper proposes a class of modified variable step-size normalized least mean square (VS NLMS) algorithms. The class of schemes are obtained from estimating the optimum step-size of NLMS that minimizes the mean square deviation (MSD). During the estimation, we consider the properties of the additive noise and the input excitation together. The developed class of VS NLMS algorithms have simple forms and give improved tradeoff of fast convergence rate and low misadjustment in system identification.
ISBN 9781424427994
Language eng
DOI 10.1109/ICIEA.2009.5138756
Field of Research 090699 Electrical and Electronic Engineering not elsewhere classified
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Persistent URL http://hdl.handle.net/10536/DRO/DU:30019953

Document type: Conference Paper
Collection: School of Engineering
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Created: Sun, 27 Sep 2009, 15:38:07 EST by Sui Yang Khoo

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