Particle Filtering Approach to Localization and Tracking of a Moving Acoustic Source in a Reverberant Room

Author

Chen, C.E. ; Wang, H. ; Ali, A. ; Lorenzelli, F. ; Hudson, R.E. ; Yao, K.

Author_Institution

Dept. of Electr. Eng., Los Angeles California Univ., CA

Volume

4

fYear

2006

fDate

14-19 May 2006

Abstract

We propose a novel algorithm employing particle filters for acoustic source tracking in a reverberant environment. By incorporating the likelihood function computed through approximate maximum-likelihood (AML) method, the proposed algorithm is applicable to wideband sources and can be implemented for multiple sources tracking. Both computer simulation and experimental results show the effectiveness of the proposed algorithm

Keywords

acoustic signal processing; maximum likelihood estimation; particle filtering (numerical methods); approximate maximum-likelihood method; moving acoustic source localization; moving acoustic source tracking; multiple sources tracking; particle filtering; reverberant room; wideband sources; Computer simulation; Filtering; Microphone arrays; Monte Carlo methods; Particle filters; Particle tracking; Position measurement; Reverberation; Sensor arrays; Wideband;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1661102

Filename

1661102