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10

IWNAS
2006
IEEE

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Comparisons of Three Kalman Filter Tracking Algorithms in Sensor Network

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Comparisons of Three Kalman Filter Tracking Algorithms in Sensor Network

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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

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Extended Kalman ﬁlters | IWNAS 2006 | Object Tracking | PVA Dynamics Models |

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Added	12 Jun 2010
Updated	12 Jun 2010
Type	Conference
Year	2006
Where	IWNAS
Authors	Yifeng Zhu, Ali Shareef

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