This article presents a radar cross-section (RCS)-based statistical recognition system for identifying/classifying unmanned aerial vehicles (UAVs) at microwave frequencies. First, the results of vertical (VV) and horizontal (HH) polarization RCS measurement six commercial UAVs 15 25 GHz in compact range anechoic chamber. The show that average depends on shape, size, material composition target ...

Purpose This paper aims to discuss the classification of targets based on their radar cross-section (RCS). The wavelength, dimensions and distance from antenna are in order 1 mm, m 10 m, respectively. Design/methodology/approach near-field RCS is considered, physical optics approximation used for its numerical calculation. To model real scenarios, authors assume that incident angle a random var...