C-shaped split ring resonator type metamaterial antenna design using neural network

Sagik M., KARAASLAN M., ÜNAL E., AKGÖL O., BAKIR M., Akdogan V., ...More

OPTICAL ENGINEERING, vol.60, no.4, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 60 Issue: 4
  • Publication Date: 2021
  • Doi Number: 10.1117/1.oe.60.4.047106
  • Journal Name: OPTICAL ENGINEERING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, Civil Engineering Abstracts
  • Keywords: microstrip antenna, artificial neural networks, c-shaped split ring resonator, OPTIMIZATION TECHNIQUES, MICROSTRIP ANTENNAS, ENHANCEMENT, ALGORITHM
  • Yozgat Bozok University Affiliated: Yes

Abstract

A C-shaped split ring resonator-based metamaterial (MTM) structure placed on a patch antenna is proposed. An artificial neural network (ANN) is applied to design and determine dimensions of an MTM structure that is similar to those used in wireless communication systems, such as Wi-Fi and WiMax, as well as in military vehicles and space stations. The proposed microstrip antenna interacts with the MTM-based structures to improve the reflection coefficient (S-11) and quality factor. The design of the proposed structure is optimized for this purpose in accordance with the ANN studies in the related literature. Both simulation and experimental studies show that ANN calculated MTM antennas improved the quality factor, which is calculated as 230 at 5.18 GHz. The simulated S-11 is verified by experiment to show the integrity of the proposed work. (C) 2021 Society of Photo-Optical Instrumentation Engineers (SPIE)