首页|Real-time localization estimator of mobile node in wireless sensor networks based on extended Kalman filter
Real-time localization estimator of mobile node in wireless sensor networks based on extended Kalman filter
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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.
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P. R. China
Shanghai Leading Academic Discipcine Project国家自然科学基金Science and Technology Commission of Shanghai Municipality
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