Tracking of Time-Varying Number of Moving Targets in Wireless Sensor Fields by Particle Filtering

In this paper, we consider tracking time-varying number of targets which move along a two-dimensional area monitored by a network of wireless sensors. We propose a novel fusion algorithm based on particle filtering that accounts for both detection of the number of active targets in the field and estimation of their positions and velocities. The method uses measurements collected by acoustic sensors, where the measurements represent superposition of received powers of signals transmitted by the targets. Computer simulations are provided to illustrate the feasibility of the proposed method in scenarios with zero, one, and two targets.