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.

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
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},

Full Paper
Last modified on October 16, 2007