Title :
Bounded state space particle filter for network sensors
Author :
Sañudo, Silvana ; Masson, Favio R. ; Julian, Pedro
Author_Institution :
Departamento de Ingenieria Electrica, Univ. Nacional del Sur, Bahia Blanca
Abstract :
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.
Keywords :
direction-of-arrival estimation; distance measurement; nonlinear estimation; particle filtering (numerical methods); sensor fusion; wireless sensor networks; RF transmission capabilities; bounded state space particle filter; direction of arrival estimation; distance measurement; estimation filter; network sensors; nonlinear estimation; particle filter framework; sensor fusion; Acoustic noise; Acoustic sensors; Direction of arrival estimation; Event detection; Gaussian distribution; Gunshot detection systems; Particle filters; Sensor phenomena and characterization; State estimation; State-space methods; Direction of arrival estimation; Distance measurement; Nonlinear estimation; Sensor Fusion;
Conference_Titel :
Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
Conference_Location :
New Orleans, LA
Print_ISBN :
1-4244-0920-9
Electronic_ISBN :
1-4244-0921-7
DOI :
10.1109/ISCAS.2007.378454
