Radar Cross Section reduction based on Gravitational Search Algorithm optimized metasurface

Abstract

A novel polarization insensitive metasurface for monostatic Radar Cross Section (RCS) reduction is designed, fabricated, and investigated. The proposed metasurface is comprised of carefully arranged unit cells with spatially varied dimension, which enables approximate uniform diffusion of incoming electromagnetic energy and avoids reflection at the specular direction. A theoretical model based on reflectarray theory is introduced to demonstrate the operating principle of the metasurface. By utilizing Gravitational Search Algorithm (GSA) and a fast far-field scattering pattern analysis method based on Inverse Fast Fourier transform technology (IFFT), a rapid and efficient design method is demonstrated. A metasurface sample is fabricated and tested to validate RCS reduction behavior predicted by full wave simulation. An over 20dB RCS reduction is observed in the vicinity of 9.5GHz, indicating our metasurface may be potentially applied in future stealth technology.