Radar Detection Performance Prediction using Measured UAVs RCS Data

This paper presents measurements of Radar Cross Section (RCS) five Unmanned Aerial Vehicles (UAVs), comprising both consumer grade and professional small drones, collected in a semi-controlled environment as function azimuth aspect angle, polarization frequency the range 8.2-18 GHz. The experimental setup data pre-processing, which include coherent background subtraction gating procedures, are illustrated detail. Furthermore, thorough description calibration process, is based on substitution method, discussed. Then, first-order statistical analysis measured RCSs provided by means Cramér-von Mises (CVM) distance Kolmogorov-Smirnov (KS) test. Finally, radar detection performance assessed bespoke simulated (leveraging results developed analysis), including, benchmark terms, curves for non-fluctuating Rayleigh fluctuating targets.