Particle Filtering Approach to Localization and Tracking of a Moving Acoustic Source in a Reverberant Room
Chiao-En Chen, H. Wang, Andreas M. Ali, Flavio Lorenzelli, Ralph E. Hudson, K. Yao · 2006
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