RF-Drone: Multi-Tag System for RF-ID Enables Drone Tracking in GPS-Denied Environments

Xiang LU  Ziyang CHEN  Lianpo WANG  Ruidong LI  Chao ZHAI  

Publication
IEICE TRANSACTIONS on Communications   Vol.E102-B   No.10   pp.1941-1950
Publication Date: 2019/10/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2018DRP0005
Type of Manuscript: Special Section PAPER (Special Section on Exploring Drone for Mobile Sensing, Coverage and Communications: Theory and Applications)
Category: 
Keyword: 
RFID,  SINS,  Kalman filter,  backscatter,  

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Summary: 
In resent years, providing location services for mobile targets in a closed environment has been a growing interest. In order to provide good localization and tracking performance for drones in GPS-denied scenarios, this paper proposes a multi-tag radio frequency identification (RFID) system that is easy to equip and does not take up the limited resources of the drone which is not susceptible to processor performance and cost constraints compared with computer vision based approaches. The passive RFID tags, no battery equipped, have an ultra-high resolution of millimeter level. We attach multiple tags to the drone and form multiple sets of virtual antenna arrays during motion, avoiding arranging redundant antennas in applications, and calibrating the speed chain to improve tracking performance. After combining the strap-down inertial navigation system (SINS) carried by the drone, we have established a coupled integration model that can suppress the drift error of SINS with time. The experiment was designed in bi-dimensional and three-dimensional scenarios, and the integrated positioning system based on SINS/RFID was evaluated. Finally, we discussed the impact of some parameters, this innovative approach is verified in real scenarios.