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Because the state model is too simple to capture the complicated trajectory, the traditional tracking algorithm can not track the moving people precisely. Simon J. Godsil and others improve particle filter to present variable rate particle filter, which employs more complicated model to track moving target, and samples state variables by changing sampling period. In this paper, we propose an adaptive...
The trajectory of moving people is always random and flexible, which requires the motion model should be more complicated than general motion model, and a dynamical model suitable for maneuvering object is introduced in this paper. The dynamic model named maneuvering model is expressed in terms of the intrinsic coordinate frame for the target and is a good example of a nonlinear model, so we apply...
In the research of wireless sensor networks, current location estimation techniques can generally be divided into direct approach and inferred approach, but their algorithms are too complicated to be used in practice. On the basis of the grid-based location estimation scheme (GLS), this paper represents a based on Euclidean distance distributed grid location estimation scheme (EDGLS), which seeks...
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