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Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/757FDDE7-A68C-4AE1-A829-24A5BD1D42F2 | ||
| Year | 2019 | ||
| Type of Item | Conference Full Paper | ||
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| Bibliographic Citation | S. Siachalou, S. Megalou, A. Tzitzis, E. Tsardoulias, A. Bletsas, J. Sahalos, T. Yioultsis and A.G. Dimitriou, "Robotic inventorying and localization of RFID tags, exploiting phase-fingerprinting," in IEEE International Conference on RFID Technology and Applications, 2019, pp. 362-367. doi: 10.1109/RFID-TA.2019.8892183 https://doi.org/10.1109/RFID-TA.2019.8892183 | ||
| Appears in Collections |
In this paper we investigate the performance of phase-based fingerprinting for the localization of RFID-tagged items in warehouses and large retail stores, by deploying ground and aerial RFID-equipped robots. The measured phases of the target RFID tags, collected along a given robot's trajectory, are compared to the corresponding phase-measurements of reference RFID tags; i.e. tags placed at known locations. The advantage of the method is that it doesn't need to estimate the robot's trajectory, since estimation is carried out by comparing phase measurements collected at neighboring time-intervals. This is of paramount importance for an RFID equipped drone, destined to fly indoors, since its weight should be kept as low as possible, in order to constrain its diameter correspondingly small. The phase measurements are initially unwrapped and then fingerprinting is applied. We compare the phase-fingerprinting with RSSI based fingerprinting. Phase-fingerprinting is significantly more accurate, because of the shape of the phase-function, which is typically U-shaped, with its minimum, measured at the point of the trajectory, when the robot-tag distance is minimised. Experimental accuracy of 15cm is typically achieved, depending on the density of the reference tags' grid.
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