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Comparisons of Three Kalman Filter Tracking Algorithms in Sensor Network

Comparisons of Three Kalman Filter Tracking Algorithms in Sensor Network,10.1109/IWNAS.2006.22,Yifeng Zhu,Ali Shareef

Comparisons of Three Kalman Filter Tracking Algorithms in Sensor Network   (Citations: 5)
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This paper compares extended Kalman filters with the P, PV and PVA dynamics models for object tracking in wire- less network. Experiments shows that PVA achieves the best and P performs the worst in most cases. In addition, increasing the number of pivots can slightly improve the tracking accuracy.
Conference: Networking, Architecture and Storages - IWNAS , pp. 61-62, 2006
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