{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T15:53:53Z","timestamp":1770393233088,"version":"3.49.0"},"reference-count":46,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2023,2,9]],"date-time":"2023-02-09T00:00:00Z","timestamp":1675900800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"IDENEO","award":["PN-III-P2-2.1-SOL-2021-0024 29SOL"],"award-info":[{"award-number":["PN-III-P2-2.1-SOL-2021-0024 29SOL"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Nowadays, unmanned aerial vehicles\/drones are involved in a continuously growing number of security incidents. Therefore, the research interest in drone versus human movement detection and characterization is justified by the fact that such devices represent a potential threat for indoor\/office intrusion, while normally, a human presence is allowed after passing several security points. Our paper comparatively characterizes the movement of a drone and a human in an indoor environment. The movement map was obtained using advanced signal processing methods such as wavelet transform and the phase diagram concept, and applied to the signal acquired from UWB sensors.<\/jats:p>","DOI":"10.3390\/s23041956","type":"journal-article","created":{"date-parts":[[2023,2,10]],"date-time":"2023-02-10T02:09:59Z","timestamp":1675994999000},"page":"1956","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["UWB Sensing for UAV and Human Comparative Movement Characterization"],"prefix":"10.3390","volume":"23","author":[{"given":"Angela","family":"Digulescu","sequence":"first","affiliation":[{"name":"Department of Communications and Information Technology, \u201cFerdinand I\u201d Military Technical Academy, 050141 Bucharest, Romania"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1132-8741","authenticated-orcid":false,"given":"Cristina","family":"Despina-Stoian","sequence":"additional","affiliation":[{"name":"Department of Communications and Information Technology, \u201cFerdinand I\u201d Military Technical Academy, 050141 Bucharest, Romania"}]},{"given":"Florin","family":"Popescu","sequence":"additional","affiliation":[{"name":"Department of Communications and Information Technology, \u201cFerdinand I\u201d Military Technical Academy, 050141 Bucharest, Romania"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5138-9843","authenticated-orcid":false,"given":"Denis","family":"Stanescu","sequence":"additional","affiliation":[{"name":"Department of Communications and Information Technology, \u201cFerdinand I\u201d Military Technical Academy, 050141 Bucharest, Romania"}]},{"given":"Dragos","family":"Nastasiu","sequence":"additional","affiliation":[{"name":"Department of Communications and Information Technology, \u201cFerdinand I\u201d Military Technical Academy, 050141 Bucharest, Romania"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3158-0557","authenticated-orcid":false,"given":"Dragos","family":"Sburlan","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Informatics, Ovidius University of Constanta, 900527 Constanta, Romania"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"284","DOI":"10.3390\/drones6100284","article-title":"Comprehensive Review of UAV Detection, Security, and Communication Advancements to Prevent Threats","volume":"6","author":"Abro","year":"2022","journal-title":"Drones"},{"key":"ref_2","unstructured":"Cavoukian, A. 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