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In this paper, the authors study physical-layer identification of passive UHF RFID tags. They collect signals from a population of 70 tags using a purpose-built reader and they analyze time domain and spectral features of the collected signals. They show that, based on timing features of the signals, UHF RFID tags can be classified, independently of the location and distance to the reader (evaluated up to 6 meters), with an accuracy of approx. 71% (within the population). Additionally, they show that is possible to uniquely identify a maximum of approx.
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