This paper describes an effective method for mobile location tracking and velocity estimation in a network-based wireless localization system. We propose a constrained least squares estimation algorithm for real-time tracking of the location and dynamic motion of a mobile user using TOA measurements. The tracking problem is formulated in a state-space framework and the constraints on system states are considered explicitly. Simulation results show that the proposed tracking algorithm can improve the accuracy through eliminating spurious position estimates
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文献种类:会议
会议: 2006 IEEE International Conference on Acoustics Speed and Signal Processing
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