Radar detection performance prediction using measured UAVs RCS data

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dc.contributor.authorRosamilia, Massimo
dc.contributor.authorBalleri, Alessio
dc.contributor.authorDe Maio, Antonio
dc.contributor.authorAubry, Augusto
dc.contributor.authorCarotenuto, Vincenzo
dc.date.accessioned2023-01-05T16:17:56Z
dc.date.available2023-01-05T16:17:56Z
dc.date.issued2022-12-12
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. The experimental setup and the data pre-processing, which include coherent background subtraction and range gating procedures, are illustrated in detail. Furthermore, a thorough description of the calibration process, which is based on the substitution method, is discussed. Then, a first-order statistical analysis of the measured RCSs is provided by means of the Cramér-von Mises (CVM) distance and the Kolmogorov-Smirnov (KS) test. Finally, radar detection performance is assessed 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, Balleri A, De Maio A, et al., (2023) Radar detection performance prediction using measured UAVs RCS data. IEEE Transactions on Aerospace and Electronic Systems, Volume 59, Issue 4, August 2023, pp. 3550-3565en_UK
dc.identifier.issn0018-9251
dc.identifier.urihttps://doi.org/10.1109/TAES.2022.3227224
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18878
dc.language.isoenen_UK
dc.publisherIEEEen_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.titleRadar detection performance prediction using measured UAVs RCS dataen_UK
dc.typeArticleen_UK

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