Review of radar classification and RCS characterisation techniques for small UAVs or drones. Issue 9 (31st July 2018)

• Record Type: Journal Article
• Authors: Patel, Jarez S.; Fioranelli, Francesco; Anderson, David
• Is Part Of: IET radar, sonar & navigation. Volume 12:Issue 9(2018)
• Page Start: 911
• Page End: 919
• Publication Date: 2018-07-31
• Subjects: security of data -- legislation -- radar cross‐sections -- reviews -- autonomous aerial vehicles -- aerospace engineering; radar classification -- RCS characterisation techniques -- rapid emergence -- mass market -- potential security threats -- legal issues -- radar elusive systems -- emerging challenge -- small UAV; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/iet-rsn.2018.0020
• Languages: English
• ISSNs: 1751-8784

Abstract

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.