UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Classification of Loaded/Unloaded Micro-Drones Using Multistatic Radar

Fioranelli, F; Ritchie, M; Borrion, H; Griffiths, H; (2015) Classification of Loaded/Unloaded Micro-Drones Using Multistatic Radar. Electronic Letters , 51 (22) pp. 1813-1815. 10.1049/el.2015.3038. Green open access

[thumbnail of Micro-Drone - ElecLetter Format Draft Final.pdf]
Preview
Text
Micro-Drone - ElecLetter Format Draft Final.pdf

Download (362kB) | Preview

Abstract

Preliminary results on the use of multistatic radar and micro-Doppler analysis to detect and discriminate between micro-drones hovering carrying different payloads are presented. Two suitable features related to the centroid of the micro-Doppler signature have been identified and used to perform classification, investigating also the added benefit of using information from a multistatic radar as opposed to a conventional monostatic system. Very good performance with accuracy above 90% has been demonstrated for the classification of hovering micro-drones.

Type: Article
Title: Classification of Loaded/Unloaded Micro-Drones Using Multistatic Radar
Open access status: An open access version is available from UCL Discovery
DOI: 10.1049/el.2015.3038
Publisher version: http://dx.doi.org/10.1049/el.2015.3038
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: hovering microdrones, loaded-unloaded microdrones classification, multistatic radar, monostatic system, microDoppler signature
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science
URI: https://discovery.ucl.ac.uk/id/eprint/1471488
Downloads since deposit
979Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item