Skip to main content

An Efficiency-Improved Tightly Coupled Dipole Reflectarray Antenna Using Variant-Coupling-Capacitance Method

Wang, Jiayou, Zhou, Yonggang, Gao, Steven, Luo, Qi (2020) An Efficiency-Improved Tightly Coupled Dipole Reflectarray Antenna Using Variant-Coupling-Capacitance Method. IEEE Access, 8 . pp. 37314-37320. ISSN 2169-3536. (doi:10.1109/ACCESS.2020.2973574) (KAR id:80603)

PDF Publisher pdf
Language: English


Download (1MB) Preview
[thumbnail of An Efficiency-Improved Tightly Coupled Dipole Reflectarray Antenna.pdf]
Preview
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL
https://doi.org/10.1109/ACCESS.2020.2973574

Abstract

In this paper, a tightly coupled dipole reflectarray antenna as well as a variant-coupling-capacitance method to improve the antenna aperture efficiency is presented. Tightly coupled elements and true-time-delay lines are employed in the design of a wideband reflectarray. The proposed reflectarray can operate from 2 GHz to 5 GHz with the gain varying from 11.3 dBi to 21 dBi. Moreover, we propose a variant-coupling-capacitance method to improve the reflectarray aperture efficiency at lower frequency. By changing the coupling capacitance between neighboring elements according to their positions in the reflecting surface, a more linear equivalent distance delay line is achieved. Hence, phase error is reduced. According to measurement, the reflectarray gain in 2 GHz using the proposed method is increased by 3 dBi compared with the previous design. Aperture efficiency in 2 GHz is improved by 21.6%.

Item Type: Article
DOI/Identification number: 10.1109/ACCESS.2020.2973574
Uncontrolled keywords: Reflectarray, tightly coupled antenna, wideband, variant coupling capacitance
Subjects: Q Science
T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Steven Gao
Date Deposited: 24 Mar 2020 17:11 UTC
Last Modified: 16 Feb 2021 14:12 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/80603 (The current URI for this page, for reference purposes)
Gao, Steven: https://orcid.org/0000-0002-7402-9223
  • Depositors only (login required):

Downloads

Downloads per month over past year