标题:Target Tracking in Wireless Sensor Networks Using Sequential Implementation of the Extended Kalman Filter
作者:Wang, Xingho; Wang, Xiaotao; Zhang, Huanshui
通讯作者:Wang, XH
作者机构:[Wang, Xingho] Nanjing Univ Posts & Telecommun, Coll Automat, Nanjing 210023, Jiangsu, Peoples R China.; [Wang, Xiaotao] Nanjing Univ Aeronaut & Ast 更多
会议名称:Chinese Automation Congress (CAC)
会议日期:NOV 07-08, 2013
来源:2013 CHINESE AUTOMATION CONGRESS (CAC)
出版年:2013
页码:132-137
关键词:Target tracking; Sequential implementation; The extended Kalman filter;; Wireless sensor networks
摘要:The centralized extended Kalman filter is a commonly used approach for target tracking in wireless sensor networks, which usually consumes heavy computing energy on the leader of the tracking cluster. In this paper, we present a target tracking approach using wireless sensor networks based on sequential implementation of the extended Kalman filter. At every tracking time, each member of the tracking cluster transmits its measurement to the leader. The leader utilizes extended Kalman filter to update the current target state estimate whenever it receives a measurement, and completes the current tracking process until it receives the last sensor measurement. Simulations results demonstrates that the proposed target tracking approach can achieve more accurate tracking accuracy than the centralized extended Kalman filter-based tracking approach, but reduce computation time.
收录类别:CPCI-S
资源类型:会议论文
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