A self-calibrating distributed acoustic sensing platform

Authors:
Lewis Girod;Martin Lukac;Vlad Trifa;Deborah Estrin
Affiliations:
Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles
Venue:
Proceedings of the 4th international conference on Embedded networked sensor systems
Year:
2006

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Abstract

We will demonstrate the operation of the Acoustic Embedded Networked Sensing Box (ENSBox), a platform for prototyping rapid-deployable distributed acoustic sensing systems. The ENSBox is a Linux-based acoustic sensing system with and integrated, high precision self-calibration facility sets it apart from other platforms. This selfcalibration is precise enough to support acoustic source localization applications in complex, realistic environments: e.g., 5 cm average 2D position error and 1.5 degree average orientation error over a 80x50 m outdoor area.