Performance prediction of the coherent radar detector on measured UAVs data

dc.contributor.authorRosamilia, Massimo
dc.contributor.authorAubry, Augusto
dc.contributor.authorBalleri, Alessio
dc.contributor.authorCarotenuto, Vincenzo
dc.contributor.authorDe Maio, Antonio
dc.date.accessioned2022-12-12T14:01:04Z
dc.date.available2022-12-12T14:01:04Z
dc.date.issued2022-10-27
dc.description.abstractThis paper presents measurements of Radar Cross Section (RCS) of five Unmanned Aerial Vehicles (UAVs), comprising both consumer grade and professional small drones, collected in a semi-controlled environment as a function of azimuth aspect angle, polarization and frequency in the range 8.2-18 GHz. A first-order statistical analysis of the measured RCSs is firstly reported prior to assessing the radar detection performance on both measured and bespoke simulated data (leveraging the results of the developed statistical analysis), including, as benchmark terms, the curves for non-fluctuating and Rayleigh fluctuating targets.en_UK
dc.identifier.citationRosamilia M, Aubry A, Balleri A, et al., (2022) Performance prediction of the coherent radar detector on measured UAVs data. In: IET Radar 2022: International Conference on Radar Systems, 24-27 October 2022, Edinburgh, Edinburgh, Scotland, UKen_UK
dc.identifier.urihttps://radar2022.theiet.org/
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18783
dc.language.isoenen_UK
dc.publisherInstitution of Engineering and Technology (IET)en_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectradar cross sectionen_UK
dc.subjectmeasured dataen_UK
dc.subjectstatistical analysisen_UK
dc.subjectradar detection performanceen_UK
dc.subjectdrone detectionen_UK
dc.titlePerformance prediction of the coherent radar detector on measured UAVs dataen_UK
dc.typeConference paperen_UK

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