This paper presents and characterizes a measurement method for positioning of passive tags, by a drone equipped with a UHF-RFID reader. The method is based on a Synthetic Aperture Radar (SAR) approach and exploits the knowledge of the reader/drone trajectory, which is achieved with a differential Global Navigation Satellite System. Different sources of measurement uncertainty are analysed by means of numerical simulations and experimental results. The method capabilities are discussed versus the length and shape of the reader trajectory. Finally, the proposed localization method is validated through an experimental analysis carried out with commercial RFID hardware and a micro-class unmanned aerial vehicle.
This paper presents a localization system for\ud
objects tagged with UHF-RFID passive tags, where the reader is\ud
attached to a drone. The system implements the phase-based\ud
SARFID technique to locate static tags with respect to a UHFRFID\ud
reader attached to a commercial drone. The reader\ud
antenna trajectory is achieved through a Global Positioning\ud
System. The bi-dimensional tag position is estimated with\ud
centimeter order accuracy. Only one reader antenna is required,\ud
without any reference tag
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.