Acoustic source localization using the acoustic ENSBox

Authors:
Andreas M. Ali;Kung Yao;Travis C. Collier;Charles E. Taylor;Daniel T. Blumstein;Lewis Girod
Affiliations:
UC, Los Angeles;UC, Los Angeles;UC, Los Angeles;UC, Los Angeles;UC, Los Angeles;Mass. Inst. of Technology
Venue:
Proceedings of the 6th international conference on Information processing in sensor networks
Year:
2007

Citing 3
Cited 0

The design and implementation of a self-calibrating distributed acoustic sensing platform

Proceedings of the 4th international conference on Embedded networked sensor systems
An empirical study of collaborative acoustic source localization

Proceedings of the 6th international conference on Information processing in sensor networks
Maximum-likelihood source localization and unknown sensor locationestimation for wideband signals in the near-field

IEEE Transactions on Signal Processing

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Abstract

Field biologists use animal sounds to discover the presence of individuals and to study their behavior. The recent development of new deployable acoustic sensor platforms presents opportunities to develop automated tools for bio-acoustic field research. In this work, we demonstrate a real-time wireless sensor system that implements an AML-based source localization algorithm. We will demonstrate a system that is easy to set up and that can localize a whistle in the demonstration area in real time. This demonstration will use the techniques we described in our corresponding paper [1].