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Fusing out-of-sequence information is a very important problem for multi-sensor target tracking systems. The challenge is in dealing with measurements that arrive from the various sensors at a central processor out-of-sequence; that is, signals arriving with a measurement relating to a time previous to the time of the current state. The problem of how to deal with these updates has received much attention...
We investigate the problem of transmitting track state to a fusion center using minimum computational resources. Local track state is not updated and not transmitted, unless local measurements sufficiently decrease local track state uncertainty. Track state information is coded using equivalent innovations. To prevent the accumulation - random walk of coding/decoding errors (coding noise), with potentially...
Distributed Kalman filters are often used in multisensor target tracking where the fusion center receives local estimates and fuses them to obtain the global target state estimate. With such a fusion architecture, each local tracker can communicate less frequently with the fusion center than the local filter update rate. The global target state estimate via track fusion is usually less accurate than...
In this paper, a goal-driven net-enabled distributed data fusion system is described for CanCoastWatch (CCW) project. Multiple sensors are deployed and managed to achieve the goals of situation assessment using a net-enabled architecture. The local tracks reported by multiple sensors are first integrated into global tracks. Decision making is then performed on basic sub-goals that can be directly...
This paper is concerned with tracking of ground targets on roads and investigates possible ways to improve target state estimation via fusing a target's track with information about a road along which the target is believed to be traveling. A target track is estimated by a surveillance radar whereas a digital map provides the road network of a region under surveillance. When the information about...
Summary form only given. The problem of track-to-track association and track fusion has been considered in the literature where the local trackers assume the same target motion model and send their local state estimates to the fusion center on demand. Many issues arise when local trackers use different target motion models or even operate on different target state spaces. In this case, selecting an...
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