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In this paper, we consider a scenario where sensors are deployed over a large geographical area for tracking a target with circular nonlinear constraints on its motion dynamics. The sensor state estimates are sent over long-haul networks to a remote fusion center for fusion. We are interested in different ways to incorporate the constraints into the estimation and fusion process in the presence of...
The random matrix approach to extended objects tracking provides efficient estimation of both the states and the extensions. Then the Gaussian Inverse Wishart-Probability Hypothesis Density (GIW-PHD) filter in the random matrix framework is utilized to track multiple extended objects in the presence of clutter measurements and missed detections. In view of the invariant extension evolution model and...
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