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In this paper we apply the smoothing particle filter to track a highly maneuverable target in a multiple-sensors network. We address the scenario of a single highly-maneuverable target moving through a field of stationary sensors with known locations. The target is tracked through the sensors filed using either all sensors or active sensors within a gate around the target. Results have been compared to tracking the same target using conventional particle filter. Smoothing particle filter showed improvement in the performance.

APPLICATION ON SMOOTHING PARTICLE FILTER IN TRACKING A HIGHLY MANEUVERABLE TARGET IN A MULTIPLE-SENSORS NETWORK