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http://dx.doi.org/10.9717/kmms.2019.22.9.1011

Position Tracking System Based on UWB and MEMS IMU  

Kwon, Seong-Geun (Department of Electronics Engineering, KyungIl University)
Publication Information
Journal of Korea Multimedia Society / v.22, no.9, 2019 , pp. 1011-1019 More about this Journal
Abstract
In this paper, we propose a system that can more precisely identify and monitor the position of the tool used in the assembling workplace such as automobile production. The proposed positioning monitoring system is a combination of UWB communication module and MEMS IMU sensor. Since UWB does not need modulation and demodulation function and has low power density, UWB is widely used in indoor positioning field. However, it may cause positioning error due to errors in RF transmission and reception process, which may cause positioning accuracy. Therefore, in this paper, we propose an algorithm that uses IMU as an auxiliary means to compensate for errors that may occur in positioning using only UWB. The tag and anchor of UWB module measure the transmission / reception time by transmitting signals to each other and then estimate the distance between tag and anchor. The MEMS IMU sensor serves to provide positioning calibration information. The tag, which is a mobile node and attached to a moving tool, measures the three-dimensional position of the tool and transfers the coordinate data to the anchor. Thus, it is possible to confirm whether or not the specific tool is properly used according to the prescribed regulations.
Keywords
Realtime Positioning; UWB; MEMS IMU; Monitoring; Kalman Filter;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 A. Gilchrist, Industry 4.0: The Industrial Internet of Things, Apress, New York, 2016.
2 A. Khan and K. Turowski, "A Perspective on Industry 4.0: From Challenges to Opportunities in Production Systems," Proceeding of International Conference on Internet of Things and Big Data, pp. 441-448, 2016.
3 S. Gezici, Z. Tian, G.B. Giannakis, H. Kobayashi, A.F. Molisch, H.V. Poor, et al., "Localization via Ultra-Wideband Radios," IEEE Signal Processing Magazine, Vol. 22, No. 4, pp. 70-84, 2005.
4 J. Hu, Y. Zhu, S. Wang, and H. Wu, "Energy Efficient, Reconfigurable, Distributed Pulse Generation and Detection in UWB Impulse Radios," Proceeding of IEEE International Conference on Ultra-wideband, pp. 773-777, 2009.
5 F. Alonge, E. Cucco, F. D'Ippolito, and A. Pulizzotto, "The Use of Accelerometers and Gyroscopes to Estimate Hip and Knee Angles on Gait Analysis," Sensors, Vol. 14, No. 5, pp. 8430-8446, 2014.   DOI
6 T.K. Kim, J.D. Seo, D.H. Lee, E.U. Kang, and S.G. Kwon, "Noise Reduction and C-Scan Image Shaping of Ultrasonic Signal for Welding Quality Inspection," Journal of Korea Multimedia Society, Vol. 20, No. 10, pp. 1662-1670, Oct. 2017.   DOI
7 L. Yang and G.B. Giannakis, "Ultra-wideband Communications: An Idea Whose Time Has Come," IEEE Signal Processing Magazine, Vol. 21, No. 6, pp. 26-54, 2004.
8 A. Mallat and L. Vandendorpe, "Joint Estimation of the Time Delay and the Clock Drift and Offset Using UWB Signals," Proceeding of 2014 IEEE International Conference on Communications, pp. 5474-5480, 2014.