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Implementation of An Improved UKF Algorithm In Electronic Whiteboard Positioning

机译:在电子白板定位中实现改进的UKF算法

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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:在当前的问题上展示电子白板定位具有较差的准确性差,我们提出了一种改进的UKF定位算法。通过向标准UKF算法添加时变衰落因子,这种方法可以显着降低过时数据对电流估计值的影响。同时,通过添加自适应调整因子来改变滤波增益以控制分歧并提高算法效率和数据的稳定性。 MATLAB仿真实验表明,UKF算法可以应用于电子白板定位,并且本文提出的改进的UKF算法可以有效地提高电子白板定位的准确性。

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