Title :
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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1661102
