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Analysis of Graphene Pythagoras Tree Fractal Antenna with Thin SiO2Substrate in Terahertz Regime

Authors :
Hafdi, Zakarya
Mezache, Zinelabiddine
Tao, Junwu
Guergour, Ghada
Source :
Annals of the West University of Timisoara, Physics Series; December 2023, Vol. 65 Issue: 1 p1-11, 11p
Publication Year :
2023

Abstract

The Pythagoras Tree Fractal patch is considered on a SiO2substrate thickness of 1.5 µm to radiate at four frequencies of 4.975THz, 5.38THz, 6.73THz, and 7.61THz with Voltage Standing Wave Ratio (VSWR) ≤ 2. This is a very creative fractal design of a multiband THz antenna, based on a very thin graphene layer, the study proved a value in terms of high radiation efficiency and high gain, at the level of current research we made a comparison study where the design has evidently huge potential regarding applicability for telecommunication technology in the terahertz regime. The demand for high-performance terahertz (THz) antennas has increased significantly in recent years due to their potential applications in various fields such as medical imaging, security screening, and wireless communications. In this paper, the authors present an analysis of a graphene Pythagoras Tree Fractal (GPTF) antenna with a thin SiO2substrate for THz regime. The GPTF antenna is designed using a fractal geometry approach, which provides multiple resonant frequencies and enhances the overall radiation efficiency. The thin SiO2substrate is used to reduce the substrate losses and improve the radiation performance of the antenna. The authors use the Finite-Difference Time-Domain (FDTD) software to simulate the performance of the proposed antenna. The results show that the proposed antenna exhibits high gain, low return loss, and wide bandwidth, making it a promising candidate for THz applications.

Details

Language :
English
ISSN :
12249718
Volume :
65
Issue :
1
Database :
Supplemental Index
Journal :
Annals of the West University of Timisoara, Physics Series
Publication Type :
Periodical
Accession number :
ejs64779691
Full Text :
https://doi.org/10.2478/awutp-2023-0001