Robust Distributed Detection
Using Low Power Acoustic Sensors
March 2005
Brian P. Flanagan, The MITRE Corporation
Kenneth W. Parker, The MITRE Corporation
ABSTRACT
This paper describes a robust detection algorithm implemented on a
network of acoustic sensors. The sensors are severely constrained in
both power and computational performance. A variety of techniques are
employed to extract maximum detection range while minimizing false alarm
rates under these constraints. These include automatic gain control,
background estimation and adaptive thresholding, and collaboration among
distributed sensors for false alarm mitigation. The resulting algorithm
is both robust and sufficiently general to be applied in a variety of
sensor domains. The algorithm was implemented and deployed on prototype
hardware and operated in real time under realistic operational conditions.
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Additional Search Keywords
Detection, Acoustics, Netted Sensing
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