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

DOI Web Site 参考文献24件
  • LU Xiang
    Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China
  • CHEN Ziyang
    Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China
  • WANG Lianpo
    Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China
  • LI Ruidong
    Network Science and Convergence Device Laboratory, Network System Research Institute, National Institute of Information and Communications and Technology (NICT)
  • ZHAI Chao
    Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China

抄録

<p>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.</p>

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