Your browser doesn't support javascript.
loading
Random Combinatorial Gradient Metasurface for Broadband, Wide-Angle and Polarization-Independent Diffusion Scattering.
Zhuang, Yaqiang; Wang, Guangming; Liang, Jiangang; Cai, Tong; Tang, Xiao-Lan; Guo, Tongfeng; Zhang, Qingfeng.
Afiliação
  • Zhuang Y; Air and Missile Defense College, Air Force Engineering University, Xi'an, 710051, China.
  • Wang G; Air and Missile Defense College, Air Force Engineering University, Xi'an, 710051, China. wgming01@sina.com.
  • Liang J; Air and Missile Defense College, Air Force Engineering University, Xi'an, 710051, China.
  • Cai T; Air and Missile Defense College, Air Force Engineering University, Xi'an, 710051, China.
  • Tang XL; Southern University of Science and Technology, Shenzhen, 518055, China.
  • Guo T; Southern University of Science and Technology, Shenzhen, 518055, China.
  • Zhang Q; Southern University of Science and Technology, Shenzhen, 518055, China. zhangqf@sustc.edu.cn.
Sci Rep ; 7(1): 16560, 2017 11 29.
Article em En | MEDLINE | ID: mdl-29185501
ABSTRACT
This paper proposes an easy, efficient strategy for designing broadband, wide-angle and polarization-independent diffusion metasurface for radar cross section (RCS) reduction. A dual-resonance unit cell, composed of a cross wire and cross loop (CWCL), is employed to enhance the phase bandwidth covering the 2π range. Both oblique-gradient and horizontal-gradient phase supercells are designed for illustration. The numerical results agree well with the theoretical ones. To significantly reduce backward scattering, the random combinatorial gradient metasurface (RCGM) is subsequently constructed by collecting eight supercells with randomly distributed gradient directions. The proposed metasurface features an enhanced specular RCS reduction performance and less design complexity compared to other candidates. Both simulated and measured results show that the proposed RCGM can significantly suppress RCS and exhibits broadband, wide-angle and polarization independence features.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Revista: Sci Rep Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Revista: Sci Rep Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China