Bounded state space particle filter for network sensors

An estimation filter is presented based on the particle filter framework, which is suitable for detection of rare events- applications in sensor networks. This application has the property of low power consumption and implies low computation and RF transmission capabilities. For this reason a partic...

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Bibliographic Details
Main Authors: Sanudo, Silvana, Masson, Favio R., Julian, Pedro
Format: Conference Proceeding
Language:English
Subjects:
Acoustic noise
Acoustic sensors
Direction of arrival estimation
Distance measurement
Event detection
Gaussian distribution
Gunshot detection systems
Nonlinear estimation
Particle filters
Sensor Fusion
Sensor phenomena and characterization
State estimation
State-space methods
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Description
Summary:An estimation filter is presented based on the particle filter framework, which is suitable for detection of rare events- applications in sensor networks. This application has the property of low power consumption and implies low computation and RF transmission capabilities. For this reason a particle filter is implemented in each node, without the re-sampling stage; only bounds on the particles with high weights are transmitted. Experimental results are presented demonstrating the performance of the proposed scheme.
ISSN:0271-4302
2158-1525
DOI:10.1109/ISCAS.2007.378454