In this paper, an analysis of a target location estimation system using the best linear unbiased estimator (BLUE) for high performance radar systems is presented. In synthetic environments, we are here concerned with three key elements of radar system modeling, which makes radar systems operates accurately in strategic situation in virtual ground. Radar Cross Section (RCS) modeling is used to d...

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...

Empirical algorithms have become the mainstream of significant wave height (SWH) retrieval from synthetic aperture radar (SAR). But plentiful features multi-polarizations make selection input for empirical model a problem. Therefore, XGBoost models are developed and evaluated SWH polarimetric Gaofen-3 mode imagettes using SAR different polarization combinations, then importance each feature on ...