Comparisons of three Kalman filter tracking algorithms in sensor network

This paper compares extended Kalman filters with the P, PV and PVA dynamics models for object tracking in wireless 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.