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IWNAS
2006
IEEE

Comparisons of Three Kalman Filter Tracking Algorithms in Sensor Network

9 years 6 months ago
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.
Yifeng Zhu, Ali Shareef
Added 12 Jun 2010
Updated 12 Jun 2010
Type Conference
Year 2006
Where IWNAS
Authors Yifeng Zhu, Ali Shareef
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