标题：Sensor Selection based on the Fisher Information of the Kalman Filter for Target Tracking in WSNs
作者：Wang Xingbo; Zhang Huanshui; Han Liangliang; Tang Ping
作者机构：[Wang Xingbo] Nanjing Univ Posts & Telecommun, Coll Automat, Nanjing 210023, Jiangsu, Peoples R China.; [Zhang Huanshui] Shandong Univ, Sch Control 更多
会议名称：33rd Chinese Control Conference (CCC)
会议日期：JUL 28-30, 2014
来源：2014 33RD CHINESE CONTROL CONFERENCE (CCC)
关键词：Collaborative Target Tracking; Wireless Sensor Networks; The Kalman; Filter; Fisher Information Matrix; Sensor Selection
摘要：Target tracking in wireless sensor networks (WSNs) requires efficient collaboration among sensors to achieve the tradeoff between energy consumption and tracking accuracy requirements. In this paper, we present a sensor selection measure based on the Fisher information matrix (FIM) of the Kalman filter for target tracking in wireless sensor networks. After obtaining the target state estimate using the combination of maximum likelihood estimation and the Kalman filter, the leader of the current tracking cluster selects the most informative cluster of sensors based on the FIM-based measure to track the moving tracking at the next time. Simulation results show that the improved tracking performance of our proposed collaborative tracking approach compared to other existing methods in terms of tracking accuracy.