A novel frequency domain filtered-X LMS algorithm for active noise reduction

Author

Kosaka, Toshifumi ; Elliott, Stephen J. ; Boucher, C.C.

Author_Institution

Tokyo Nat. Coll. of Technol., Japan

Volume

1

fYear

1997

fDate

21-24 Apr 1997

Firstpage

403

Abstract

A frequency domain implementation of the LMS algorithm has significant advantages. In broadband applications it is important to use the correct window function before Fourier transformation to obtain an unbiased estimation of the required cross correlation function and to eliminate wrap-around effects. In the frequency domain filtered-X LMS algorithm described in this paper, the control filter is updated in the frequency domain as a background task, while control filtering is performed in the time domain, to minimize the processing delays. The frequency domain algorithm showed better performance than the conventional time domain algorithm in simulations of single channel active control systems. The algorithm is also able to improve the convergence of multiple channel systems by compensating for the coupling between the control channels

Keywords

acoustic noise; acoustic signal processing; active noise control; convergence of numerical methods; filtering theory; frequency-domain analysis; least mean squares methods; spectral analysis; telecommunication channels; time-domain analysis; Fourier transformation; active noise reduction; broadband applications; control channels coupling compensation; control filter; control filtering; convergence; cross correlation function; frequency domain filtered-X LMS algorithm; multiple channel systems; performance; processing delay minimisation; simulations; single channel active control systems; time domain algorithm; unbiased estimation; window function; wrap-around effects elimination; Active noise reduction; Control system synthesis; Delay effects; Educational institutions; Filtering algorithms; Filters; Frequency domain analysis; Least squares approximation; Sensor phenomena and characterization; Sensor systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.599658

Filename

599658