Design Optimization of Ultra-Wideband Vivaldi Antenna using Artificial Intelligence

Authors

  • Peyman Mahouti Department of Electronics and Automation, İstanbul University- Cerrahpaşa, İstanbul, Turkey
  • Ahmet Kızılay Department of Electronic and Communication, Yıldız Technical University, İstanbul, Turkey
  • Ozlem Tari Department of Mathematics and Computer Science, İstanbul Arel University, İstanbul, Turkey
  • Aysu Belen Department of Hybrid and Electric Vehicles Technology, İskenderun Technical University, Hatay, Turkey
  • Mehmet A. Belen Department of Electric and Electronic, İskenderun Technical University, Hatay, Turkey
  • Alper Çalışkan Department of Electronic and Communication, Yıldız Technical University, İstanbul, Turkey

DOI:

https://doi.org/10.13052/2021.ACES.J.361211

Keywords:

FreFrequency selective surface, Optimization, Surrogate modeling, Ultra-wideband, Vivaldi Antenna

Abstract

In this work, computationally efficient design optimization of frequency selective surface (FSS)-loaded ultra-wideband Vivaldi antenna via the use of data-driven surrogate model is studied. The proposed design methodology consists of a multi-layer FSS structure aimed for performance improvement of the Vivaldi design, which makes the design a multi-objective multi-dimensional optimization problem. For having a fast and accurate optimization process, a data-driven surrogate model alongside the metaheuristic optimizer honeybee mating optimization (HBMO) had been used. The optimally designed antenna had been prototyped and its performance characteristics had been measured. The obtained experimental results are compared with the simulated results of the proposed method. Results show that the obtained FSS-loaded structure has enhanced directivity compared with the design without FSS structure, without any performance losses in the return loss characteristics. The FSS-loaded Vivaldi antenna operates at 2–12 GHz band with a maximum gain of 10 dBi at 10 GHz which makes the design a good solution for RADAR applications.

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Author Biographies

Peyman Mahouti, Department of Electronics and Automation, İstanbul University- Cerrahpaşa, İstanbul, Turkey

Peyman Mahouti received his M. Sc. And Ph.D. degree in Electronics and Communication Engineering from the Yıldız Technical University, Turkey, in 2013 and 2016, Respectivly. He is currently an Associated Professor with the Department of Electronic and Communication, Istanbul University - Cerrahpasa, Turkey. The main research areas are analytical and numerical modelling of microwave devices, optimization techniques for microwave stages, and application of artificial intelligence-based algorithms. His research interests include analytical and numerical modelling of microwave and antenna structures, surrogate-based optimization, and application of artificial intelligence algorithms.

Ahmet Kızılay, Department of Electronic and Communication, Yıldız Technical University, İstanbul, Turkey

Ahmet Kizilay was born in Istanbul, Turkey, in 1969. He received B.Sc. degree in Electronics and Communications Engineering from Yildiz University in 1990, M.Sc. and Ph.D. degrees in Electrical Engineering from Michigan State University in 1994 and 2000, respectively.

In July 2001, he joined the Department of Electronics and Communications Engineering at Yildiz Technical University, where he is currently working as Professor. His main research interests include time domain electromagnetic scattering, electromagnetic wave theory, and fiber optics.

Ozlem Tari, Department of Mathematics and Computer Science, İstanbul Arel University, İstanbul, Turkey

Özlem Tari received her B.Sc., M.Sc. and Ph.D. in Physics Engineering from the Istanbul Technical University (ITU). She was the recipient of the Universidad Carlos III de Madrid Research Fellowship award before accepting her position at Istanbul Arel University in 2010. Her research areas are the phase transitions and phase diagram of some physical systems, Multi-Objective Optimization problems and development of Meta-Heuristic Optimization Algorithms.

Aysu Belen, Department of Hybrid and Electric Vehicles Technology, İskenderun Technical University, Hatay, Turkey

Aysu Belen received his Ph.D. degree in Electronics and Communication Engineering from the Yıldız Technical University in 2021. Currently, she is a Lecturer in İskenderun Technical University. Her main research areas are optimization of microwave circuits, circuits, device modeling, and computer aided circuit design and microwave amplifiers.

Mehmet A. Belen, Department of Electric and Electronic, İskenderun Technical University, Hatay, Turkey

Mehmet Ali Belen received his Ph.D degree in Electronics and Communication engineering from the Yıldız Technical University in 2016. He is currently an Associated Prof. in İskenderun Technical University. His current activities include teaching and researching Electromagnetics and Microwaves along with developing Additive Manufacturing 3D Printed Microwave Components for Rapid Prototyping. His current research interests are in the areas of multivariable network theory, device modeling, computer aided microwave circuit design, monolithic microwave integrated circuits, and antenna arrays, active/passive microwave components especially in the field of metamaterial- based antennas and microwave filters.

Alper Çalışkan, Department of Electronic and Communication, Yıldız Technical University, İstanbul, Turkey

Alper Çalıışkan received his Ph.D. degree in Electronics and Communication Engineering from the Yıldız Technical University in 2019. The main research areas are optimization of microwave circuits, broadband matching circuits, device modeling, and computer aided circuit design, microwave amplifiers.

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Published

2022-03-10

How to Cite

[1]
P. . Mahouti, A. . Kızılay, O. . Tari, A. . Belen, M. A. . Belen, and A. . Çalışkan, “Design Optimization of Ultra-Wideband Vivaldi Antenna using Artificial Intelligence”, ACES Journal, vol. 36, no. 12, pp. 1594–1601, Mar. 2022.

Issue

2021: Vol 36 Iss 12

Section

General Submission

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