Comparisons of Three Kalman Filter Tracking Models in Wireless Sensor Network, in Proceedings of IEEE International Workshop on Network, Architecture and Storages, Shengyang, China, August 1-3, 2006.
Abstract
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.
BibTeX Entry
	@inproceedings{zhu_iwnas06, author = {Yifeng Zhu and Ali Shareef}, title = {Comparisons of Three {K}alman Filter Tracking Algorithms in Sensor Network}, booktitle = {International Workshop on Networking, Architecture, and Storages ({IWNAS}'06), }, year = {2006}, pages = {61--62}, publisher = {IEEE Computer Society}, address = {Shengyang, China}, }
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Last modified on October 16, 2007