Online secondary path modeling in wave-domain active noise control

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Zhang W, Hofmann C, Bürger M, Kellermann W
Publishing place: New Orleans, LA, USA
Publication year: 2017
Pages range: 116-120
ISBN: 978-1-5090-4117-6
ISSN: 2379-190X
Language: English


Abstract

The performance of an ANC system largely depends on the availability of an accurate secondary path model. This is however a major challenge in multichannel ANC where the computational complexity increases significantly with the number of secondary sources and error sensors. This paper proposes wave-domain adaptive processing algorithm for multichannel ANC with online secondary modelling to cancel a tonal noise over a region of space within a reverberant room. The design is based on exploiting a special property of the
secondary path model in the wave domain. A feedback control system is implemented, where a single microphone array is placed at the boundary of the control region to measure the residual signals, and a loudspeaker array reproduces secondary sources to generate the anti-noise signals and auxiliary noise for secondary path modelling. Through experimental verification in comparison with existing methods the proposed algorithm demonstrates more efficient adaptation with low-level auxiliary noise


FAU Authors / FAU Editors

Bürger, Michael
Professur für Nachrichtentechnik
Hofmann, Christian
Professur für Nachrichtentechnik
Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik


External institutions
Australian National University (ANU)


How to cite

APA:
Zhang, W., Hofmann, C., Bürger, M., & Kellermann, W. (2017). Online secondary path modeling in wave-domain active noise control. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 116-120). New Orleans, LA, US: New Orleans, LA, USA.

MLA:
Zhang, Wen, et al. "Online secondary path modeling in wave-domain active noise control." Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA New Orleans, LA, USA, 2017. 116-120.

BibTeX: 

Last updated on 2019-15-04 at 16:38