Modified LMS algorithm for unbiased impulse response estimation in nonstationary noise

Author

So, H.C.

Author_Institution

Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong

Volume

Issue

fYear

1999

fDate

5/13/1999 12:00:00 AM

Firstpage

791

Lastpage

792

Abstract

In the presence of input interference, the Wiener solution for impulse response estimation is biased. It is proved that bias removal can be achieved by proper scaling of the optimal filter coefficients and a modified least mean squares (LMS) algorithm is then developed for accurate system identification in noise. Simulation results show that the proposed method outperforms two total least squares (TLS) based adaptive algorithms under nonstationary interference conditions

Keywords

adaptive signal detection; identification; interference (signal); least mean squares methods; transient response; Wiener solution; input interference; modified LMS algorithm; nonstationary interference conditions; nonstationary noise; optimal filter coefficients; scaling; system identification; unbiased impulse response estimation;

fLanguage

English

Journal_Title

Electronics Letters

Publisher

iet

ISSN

0013-5194

Type

jour

DOI

10.1049/el:19990523

Filename

771420

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1523313