Patel, J. S. , Fioranelli, F. and Anderson, D. (2018) Review of radar classification and RCS characterisation techniques for small UAVs or drones. IET Radar, Sonar and Navigation, 12(9), pp. 911-919. (doi: 10.1049/iet-rsn.2018.0020)
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Abstract
This review explores radar-based techniques currently utilised in the literature to monitor small unmanned aerial vehicle (UAV) or drones; several challenges have arisen due to their rapid emergence and commercialisation within the mass market. The potential security threats posed by these systems are collectively presented and the legal issues surrounding their successful integration are briefly outlined. Key difficulties involved in the identification and hence tracking of these `radar elusive' systems are discussed, along with how research efforts relating to drone detection, classification and radar cross section (RCS) characterisation are being directed in order to address this emerging challenge. Such methods are thoroughly analysed and critiqued; finally, an overall picture of the field in its current state is painted, alongside scope for future work over a broad spectrum.
| Item Type: | Articles |
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| Additional Information: | The authors would like to thank Leonardo Airborne and Space Systems and the EPSRC for funding this research. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Patel, Mr Jarez and Fioranelli, Dr Francesco and Anderson, Dr David |
| Authors: | Patel, J. S., Fioranelli, F., and Anderson, D. |
| College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
| Journal Name: | IET Radar, Sonar and Navigation |
| Publisher: | IET |
| ISSN: | 1751-8784 |
| ISSN (Online): | 1751-8792 |
| Copyright Holders: | Copyright © 2018 The Institution of Engineering and Technology |
| First Published: | First published in IET Radar, Sonar and Navigation 12(9):911-919 |
| Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
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