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

conference contribution
posted on 2009-01-01, 00:00 authored by S Zhao, Z Man, Sui Yang KhooSui Yang Khoo
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.

History

Event

ICIEA 2009 : 4th IEEE Conference on Industrial Electronics and Applications

Pagination

2987 - 2991

Publisher

Institute of Electrical and Electronics Engineers

Location

Xi'an, China

Place of publication

Piscataway, NJ

Start date

2009-05-25

End date

2009-05-27

ISBN-13

9781424427994

Language

eng

Publication classification

E1 Full written paper - refereed; E Conference publication

Title of proceedings

Institute of Electrical and Electronics Engineers. Conference (4th : 2009 : Xi'an, China)

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