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We consider tracking of a target with elliptical nonlinear constraints on its motion dynamics. The state estimates are generated by sensors and sent over long-haul links to a remote fusion center for fusion. We show that the constraints can be projected onto the known ellipse and hence incorporated into the estimation and fusion process. In particular, two methods based on (i) direct connection to...
Indoor Localization and Tracking have become an attractive research topic because of the wide range of potential applications. These applications are highly demanding in terms of estimation accuracy and rise a challenge due to the complexity of the scenarios modeled. Approaches for these topics are mainly based on either deterministic or probabilistic methods, such as Kalman or Particles Filter. These...
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...
We consider a number of sensors deployed over a large geographical area for tracking a target with linear constraints on its motion dynamics which are specified by Kalman filter conditions. The state estimates from the sensors are sent over long-haul networks to a remote fusion center, where they are fused to improve the tracking accuracy. The mismatches among the sensors in incorporating the target...
Fusing out-of-sequence information is a problem of growing importance for multi-sensor target tracking systems due to sensors embedded in complicated network architectures. The problem of how to deal with these updates has received much attention in recent years and has been solved optimally and suboptimally by various authors. Most of the solutions treated only the problem of updating a track by...
In multisensor target tracking systems measurements from the same target can arrive out of sequence. How to fuse out-of-sequence information is a very important problem for distributed multisensor target tracking systems. Local sensors send their track to a fusion center and then the fusing center uses these track data from one or more sensors to update. In this paper, we obtain the out-of-sequence...
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