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Acoustic Source Localization With Distributed Asynchronous Microphone Networks

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4 Author(s)
A. Canclini ; dipartimento di Elettronica ed Informazione, Politecnico di Milano, Milano, Italy ; F. Antonacci ; A. Sarti ; S. Tubaro

We propose a method for localizing an acoustic source with distributed microphone networks. Time Differences of Arrival (TDOAs) of signals pertaining the same sensor are estimated through Generalized Cross-Correlation. After a TDOA filtering stage that discards measurements that are potentially unreliable, source localization is performed by minimizing a fourth-order polynomial that combines hyperbolic constraints from multiple sensors. The algorithm turns to exhibit a significantly lower computational cost compared with state-of-the-art techniques, while retaining an excellent localization accuracy in fairly reverberant conditions.

Published in:

IEEE Transactions on Audio, Speech, and Language Processing  (Volume:21 ,  Issue: 2 )