Bounded State Space Particle Filter for Network Sensors

SILVANA SAÑUDO; FAVIO MASSON; PEDRO JULIAN

Simposio; IEEE International Symposium on Circuits and Systems (ISCAS) 2007; 2007

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.