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《Journal of Beijing University of Aeronautics and Astronautics》 2003-04
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Optimization of Extended Kalman Filter for Cellular Mobile Location

Shi Yanshan (School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics) Li Daoben (Information Science and Engineering School, Beijing University of Post and Telecommunication) Fan Yuezu (School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics)  
An extended Kalman filtering (EKF) algorithm is designed for radiolocation in cellular communication system, simulation is conducted to examine its performance. An improvement of the algorithm is then made, using predicative error obtained by variance of time of arrival (TOA) measures and the linear relation between the measurement and the state vectors revealed by the simulation results. The predicative error is used to adjust the estimation of mobile position achieved by the fore EKF algorithm. Finally, the location accuracy obtained from the improved EKF shows better performance than the fore one in simulations, even in the case of non light of sight (NLOS).
【CateGory Index】: TN95
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