Performance prediction of the coherent radar detector on measured UAVs data

Rosamilia, Massimo; Aubry, Augusto; Balleri, Alessio; Carotenuto, Vincenzo; De Maio, Antonio

dc.contributor.author	Rosamilia, Massimo
dc.contributor.author	Aubry, Augusto
dc.contributor.author	Balleri, Alessio
dc.contributor.author	Carotenuto, Vincenzo
dc.contributor.author	De Maio, Antonio
dc.date.accessioned	2022-12-12T14:01:04Z
dc.date.available	2022-12-12T14:01:04Z
dc.date.issued	2022-10-27
dc.identifier.citation	Rosamilia 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, UK	en_UK
dc.identifier.uri	https://radar2022.theiet.org/
dc.identifier.uri	https://dspace.lib.cranfield.ac.uk/handle/1826/18783
dc.description.abstract	This 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.language.iso	en	en_UK
dc.publisher	Institution of Engineering and Technology (IET)	en_UK
dc.rights	Attribution-NonCommercial 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc/4.0/	*
dc.subject	radar cross section	en_UK
dc.subject	measured data	en_UK
dc.subject	statistical analysis	en_UK
dc.subject	radar detection performance	en_UK
dc.subject	drone detection	en_UK
dc.title	Performance prediction of the coherent radar detector on measured UAVs data	en_UK
dc.type	Conference paper	en_UK