Disambiguation in multidimensional tracking of multiple acoustic sources using a gaussian likelihood criterion

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Teng P, Lombard A, Kellermann W
Publication year: 2010
Pages range: 145-148
ISBN: 9781424442966


Abstract


The TDOA-based acoustic source localization approaches suffer from a pairing problem in the case of multiple dimensions and multiple sources. To resolve this problem, usually three or more microphone pairs are required. In this paper, we propose a new solution based on a Gaussian likelihood function to pair TDOAs, which allows us to localize multiple moving acoustic sources in several dimensions using a minimum number of microphone pairs. Moreover, the proposed method is combined with a particle filter for tracking multiple moving sources. Experimental results demonstrate the effectiveness of the proposed scheme. ©2010 IEEE.



FAU Authors / FAU Editors

Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik


External institutions
Chinese Academy of Sciences (CAS) / 中国科学院


How to cite

APA:
Teng, P., Lombard, A., & Kellermann, W. (2010). Disambiguation in multidimensional tracking of multiple acoustic sources using a gaussian likelihood criterion. (pp. 145-148). Dallas, TX, US.

MLA:
Teng, Pengxiao, Anthony Lombard, and Walter Kellermann. "Disambiguation in multidimensional tracking of multiple acoustic sources using a gaussian likelihood criterion." Proceedings of the 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, Dallas, TX 2010. 145-148.

BibTeX: 

Last updated on 2018-15-12 at 20:50