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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/8C816BC3-A640-4C32-8CDF-94E85B7386DC | - |
| Identifier | https://doi.org/10.1109/RFID54732.2022.9795969 | - |
| Identifier | https://ieeexplore.ieee.org/document/9795969 | - |
| Language | en | - |
| Extent | 6 pages | en |
| Title | Where is the wall? Radar imaging-based narrowband RFID and reflector localization | en |
| Creator | Peppas Spyridon | en |
| Creator | Πεππας Σπυριδων | el |
| Creator | Giannelos Evangelos | en |
| Creator | Γιαννελος Ευαγγελος | el |
| Creator | Vougioukas Georgios | en |
| Creator | Βουγιουκας Γεωργιος | el |
| Creator | Bletsas Aggelos | en |
| Creator | Μπλετσας Αγγελος | el |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Description | The research work was supported by the Hellenic Foundation for Research and Innovation (H.F.R.I.) under the “First Call for H.F.R.I. Research Projects to support Faculty members and Researchers and the Procurement of Highcost research equipment” (Project Number: 2846). | en |
| Content Summary | Reflections from objects can interfere with RFID localization. This work offers a method for the joint estimation of reflectors' and tags' locations, without any prior knowledge. When block coherence is relatively small and wall reflection rel-atively strong, the method localizes the tag and the wall/reflector with impressive accuracy, in the order of 5 cm. Narrowband measurements, spread in space can improve the performance of the algorithm, which is important for narrowband UHF RFID. Experimental results also indicate cases where the performance of the method degrades. Hopefully, this work will spark interest on “classifying” the environment as line-of-sight or multipath-rich, discovering the order of reflections for the latter case. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2024-08-02 | - |
| Date of Publication | 2022 | - |
| Subject | Location awareness | en |
| Subject | Estimation | en |
| Subject | UHF measurements | en |
| Subject | Radar | en |
| Subject | Radar imaging | en |
| Subject | Reflection | en |
| Subject | Classification algorithms | en |
| Bibliographic Citation | S. Peppas, E. Giannelos, G. Vougioukas and A. Bletsas, "Where is the wall? Radar imaging-based narrowband RFID and reflector localization," in Proceedings of the 2022 IEEE International Conference on RFID (RFID 2022), Las Vegas, NV, USA, 2022, pp. 144-149, doi: 10.1109/RFID54732.2022.9795969. | en |
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