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Research Article Open Access

Dimension Forecast in Microstrip Antenna for C/X/Ku Band by Artificial Neural Network

1Konya Technical University
✉ Corresponding author: Umut Özkaya · uozkaya@selcuk.edu.tr
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Abstract

In this study, it is aimed to design C pattern array microstrip antenna for C Band (4 to 8 GHz), X Band (8 to 12 GHz) and Ku Band (12 GHz to 18 GHz). The proposed geometry was fed by coaxial probe. Optimum antenna was designed with Artificial Neural Network (ANN). Inputs of the network are return loses and operating frequencies in C/X/Ku band. On the other hand, there are six outputs such as 2-D feed points and other design dimensions. The simulated and forecasted return losses, radiation pattern and gain results are compared with each other. All simulation results were obtained with High Frequency Structure Simulator (HFSS) software. Also, training and test process of ANN was implemented in MATLAB software. Additionally, these simulation and predicted results were analyzed comparatively. In particular, results of antenna design based on ANN is so closed to real design. This technique can be used in microstrip antenna manufacturing.  

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Cite this article

Özkaya, U., & Seyfi, L. (2018). Dimension Forecast in Microstrip Antenna for C/X/Ku Band by Artificial Neural Network. In 2nd International Symposium on Innovative Approaches in Scientific Studies (pp. 518–522). SET Technology.

Article History

Published
31 Dec 2018

License

© 2018 SET Technology. This article is distributed under the terms of the CC BY 4.0.

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
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