Conference 2022

PERFORMANCE PREDICTION OF THE COHERENT RADAR DETECTOR ON MEASURED UAVS DATA

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

IET Conference Proceedings

Abstract

Research summary

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. © 2022 IET Conference Proceedings. All rights reserved.

Keywords

Aircraft detection Antennas Benchmarking Radar cross section Radar measurement Signal detection Statistical methods Tracking radar Coherent radar Detection performance DRONE DETECTION MEASURED DATA Measurements of Performance prediction Radar cross-sections Radar detection RADAR DETECTION PERFORMANCE Radar detectors Drones