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		题名	作者	年代	出处	被引量
	1	Real-time localization estimator of mobile node in wireless sensor networks based on extended Kalman filter显示文摘Localization of the sensor nodes is a key supporting technology in wireless sensor networks (WSNs). In this paper, a real-time localization estimator of mobile node in WSNs based on extended Kalman filter (KF) is proposed. Mobile node movement model is analyzed and online sequential iterative method is used to compute location result. The detailed steps of mobile sensor node self-localization adopting extended Kalman filter (EKF) is designed. The simulation results show that the accuracy of the localization estimator scheme designed is better than those of maximum likelihood estimation (MLE) and traditional KF algorithm.	田金鹏郑国莘	2011	Journal of Shanghai University(English Edition)2011，15，2：	0

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