The Study of Active Noise Control Method for Moving Target in Noisy Space

Article Preview

Abstract:

For the noise problem of moving target in noisy space, This work is dedicated to developing a novel and promising solution based on the moving target tracking technology and the active noise control (ANC) technology. The development process began with the simplified sound field interaction model, the “auto position tracking near head space ANC” strategy has been proposed from the modelling study. Furthermore, the primary experimental system that consists of the acoustic positioning and tracking subsystem for tracking the control point and the ANC subsystem for generating the anti-noise signal is presented, with the emphasis on the development of the improved TDC-FXLMS ANC algorithm. Finally, the performance of the auto-position tracking near head space ANC device is evaluated by carrying out the primary experiments on an experimental evaluation system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1592-1597

Citation:

Online since:

March 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] P. Lueg, US Patent 2, 043, 416. (1936).

Google Scholar

[2] SM. Kuo and C. Chen, in: Implementation of adaptive filters with the TMS320C25 or the TMS320C30. in Digital Signal Processing Applications with the TMS320 Family, P. Papamichalis, Ed. Englewood Cliffs, NJ: Prentice-Hall, (1990).

Google Scholar

[3] MJM. Jessel and OL. Angevine: Proc. Inter-Noise 80, (1980), p.689.

Google Scholar

[4] T. Akhtar and W. Mitsuhashi : J. Sound Vib., Vol. 327 (2009), p.647.

Google Scholar

[5] L. Oliveira, K. Janssens, P. Gajdatsy, H. Auweraer, P. Varoto, et al: Mech. Syst. S., Vol. 23, (2009), p.476.

Google Scholar

[6] SJ. Elliott, PA. Nelson, IM. Stothers and CC. Boucher: J. Sound Vib., Vol. 140, (1990), p.219.

Google Scholar

[7] Bose, G. Amar and C. John , U.S. Patent 4, 455, 675. (1984).

Google Scholar

[8] E. Mumolo, M. Nolich and G. Vercelli: Robot. Aut. S. Vol. 42, (2002), p.69.

Google Scholar

[9] K. Fujii and J. Ohga: Signal Proc., Vol. 81, (2001), p.381.

Google Scholar