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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...
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...
We consider long-haul sensor networks where sensors are remotely deployed over a large geographical area to perform certain tasks, such as tracking and/or monitoring of one or more dynamic targets. A remote fusion center fuses the information provided by these sensors to improve the accuracy of the final estimates of certain target characteristics. In this work, we pursue artificial neural network...
Long-haul sensor networks can be found in many real-world applications, such as tracking and/or monitoring of one or more dynamic targets in space. In such networks, sensors are remotely deployed over a large geographical area, whereas a remote fusion center fuses the information provided by these sensors in order to improve the accuracy of the final estimates of certain target characteristics. We...
Long-haul sensor networks can be found in both civilian and military applications. In a typical long-haul sensor network, sensors are remotely deployed over a large geographical area to perform tracking and/or monitoring of one or more dynamic targets. A remote fusion center fuses the information provided by these sensors so that a final estimate of certain target characteristics ?? such as the position...
In long-haul sensor networks, sensors are remotely deployed over a large geographical area to perform certain tasks. We study a class of such networks where sensors take measurements of one or more dynamic targets and send state estimates of the target(s) to a fusion center via long-haul satellite links. The severe loss and delay over the satellite channels can easily reduce the chance that an estimate...
In a long-haul sensor network, sensors are remotely deployed over a large geographical area to perform certain tasks. We consider a class of such networks where sensors take measurements of one or more dynamic targets and send state estimates of the target(s) to a fusion center via satellite links. The severe loss and delay inherent over the satellite channels render insufficient the number of estimates...
We consider a long-haul network in which sensors are remotely deployed and tasked to send state estimates of a dynamic target to the fusion center via satellite links. Due to severe loss and delay inherent in satellite channels, the number of estimates successfully arriving at the fusion center can be quite limited. A certain retransmission-based transport protocol can be applied so that lost messages...
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