Volume 15, Issue 2 (June 2019)                   IJEEE 2019, 15(2): 172-181 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Rajabalipanah H, Fallah M, Abdolali A. An Intelligent Non-Trial-and-Error Design Method for Double Screen Frequency Selective Surfaces. IJEEE 2019; 15 (2) :172-181
URL: http://ijeee.iust.ac.ir/article-1-1256-en.html
An Intelligent Non-Trial-and-Error Design Method for Double Screen Frequency Selective Surfaces
H. Rajabalipanah , M. Fallah , A. Abdolali
Abstract:   (3071 Views)
An intelligent design method of double screen frequency selective surfaces (FSSs) is addressed in this paper. The employed unit cell is composed of two metallic screens, which are printed on both sides of a substrate. The presented non-trial-and-error approach is investigated based on the separate design of each screen. With the help of some physical intuition and an equivalent circuit model, it is shown that the conventional use of complement geometries restricts the final desired filtering response. Therefore, unlike the previous studies, the metallic screens are not geometrically complementary in this paper. An excellent agreement between the full-wave simulations and corresponding equivalent circuit models has been observed. Using standard lumped elements, a highly selective miniaturized FSS (0.06λ0 ~ 0.08λ0) with two closely-spaced pass bands is designed, for GSM and WLAN frequencies. Simulation results show a dual-polarized characteristic with a good angular stability performance for the proposed structure.
Keywords: Frequency Selective Surfaces , Filter , Dual Band , Equivalent Circuit Model
Full-Text [PDF 1518 kb]   (1320 Downloads)    
Type of Study: Research Paper | Subject: Scattering and Propagation
Received: 2018/03/29 | Revised: 2019/04/07 | Accepted: 2018/10/05
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.