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Aming at the current problem that Electronic whiteboard positioning has the poor accuracy, we propose an improved UKF positioning algorithm. Through adding time-varying fading factor to the standard UKF algorithm, such method can significantly reduce the influence of outmoded data on the current estimation value. Meanwhile, by adding adaptive adjustment factor to alter filtering gain to control the divergency and improve the efficiency of algorithm and the stability of data. The MATLAB simulation experiments show that the UKF algorithm can be applied in Electronic whiteboard positioning, and the improved UKF algorithm proposed in this article can effectively improve the accuracy of Electronic whiteboard positioning. © 2014 IEEE.
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