Reflection-type 1-bit coding metasurface for radar cross section reduction combined diffusion and reflection

• Published in: Journal of physics. D, Applied physics Applied physics, 2020-10, Vol.53 (44), p.445107
• Main Authors: Fu, Changfeng, Han, Lianfu, Liu, Chao, Lu, Xili, Sun, Zhijie
• Format: Article
• Language: English
• Subjects: coding metasurface; diffusion; radar cross section (RCS) reduction; reflection
• ISSN: 0022-3727; 1361-6463
• DOI: 10.1088/1361-6463/ab9b5e

A dual-wideband coding metasurface based on the polarization conversion for radar cross section (RCS) reduction is proposed. An anisotropic element with rotational symmetry is denoted as '0' or '1' in 1-bit coding sequences. The unit cells are arranged according to a binary coded matrix formed by simulated annealing algorithm. The optimal coding metasurface possesses RCS reduction of greater than 10 dB in 9.9-14.1 and 15.6-20.6 GHz while simultaneously maintaining an effective specular reflection performance from 14.1 to 15.6 GHz under x-polarized normal incidence. This shows that the designed optimal coding metasurface has the performance of frequency selectivity. Additionally, the proposed optimal coding metasurface in this paper has polarization insensitive characteristics. The experiment results of the prepared prototype are found to be in line with the numerical simulation results. It is a novel and practical method to achieve low-backward scattering by a combination of diffusion and reflection. The optimal coding metasurface offers huge potential applications for complex electromagnetic wave manipulation, such as stealth fields and antenna designs.