NDLI: Implementation of an improved UKF algorithm in Electronic whiteboard positioning

Content Provider	IEEE Xplore Digital Library
Author	Yu Jianjun Zhang Yingkun Ruan Xiaogang Sun Yongfang
Copyright Year	2014
Description	Author affiliation: Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China (Yu Jianjun; Zhang Yingkun; Ruan Xiaogang; Sun Yongfang)
Abstract	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.
Starting Page	3824
Ending Page	3828
File Size	459249
Page Count	5
File Format	PDF
ISBN	9781479937073
e-ISBN	9781479937080
DOI	10.1109/CCDC.2014.6852846
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Fading Time-varying Fading Factor Positioning UKF Digital signal processing Educational institutions Adaptive Adjustment Factor Electronic mail Electronic Whiteboard MATLAB Standards
Content Type	Text
Resource Type	Article

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