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Implementation of an improved UKF algorithm in Electronic whiteboard positioning

机译:电子白板定位中改进UKF算法的实现

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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.
机译:针对当前电子白板定位精度差的问题,我们提出了一种改进的UKF定位算法。通过将时变衰落因子添加到标准UKF算法中,该方法可以显着减少过时的数据对当前估计值的影响。同时,通过添加自适应调整因子来改变滤波增益,以控制散度,提高算法效率和数据稳定性。 MATLAB仿真实验表明,UKF算法可以应用于电子白板的定位,本文提出的改进的UKF算法可以有效地提高电子白板的定位精度。

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