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Optimizing the Gain and Directivity of a Microstrip Antenna with Metamaterial Structures by Using Artificial Neural Network Approach

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Date

2021

Author

Sağık, Metin
Altıntaş, Olcay
Ünal, Emin
Özdemir, Ersin
Demirci, Mustafa
Çolak, Şule
Karaaslan, Muharrem

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Citation

Sağık, M., Altıntaş, O., Ünal, E., Özdemir, E., Demirci, M., Çolak, Ş., Karaaslan, M. (2021). Optimizing the Gain and Directivity of a Microstrip Antenna with Metamaterial Structures by Using Artificial Neural Network Approach. Wireless Personal Communications, 118 (1), pp. 109-124. https://doi.org/10.1007/s11277-020-08004-8

Abstract

The purpose of this study is to improve the gain and directivity of the microstrip patch antenna by means of metamaterial (MTM) structures. As it is known, antennas have power densities in a certain direction, and the radiation curves of the antennas are shaped by orienting them according to this power density. Based on this feature of the antennas, it is aimed to improve the gain and directivity of microstrip patch antennas with the most suitable structures thanks to metamaterial (MTM) structures. The MTM structures designed are interacted with the antenna. Then, the frequency, gain and directivity of the antenna are trained by the artificial neural network technique to estimate the most appropriate values. As a result, the gain and directivity of the antenna are improved by the interaction of microstrip patch antenna and MTM structures and the results are interpreted on the figures.

Source

Wireless Personal Communications

Volume

118

Issue

1

URI

https://doi.org/10.1007/s11277-020-08004-8
https://hdl.handle.net/20.500.12508/1772

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  • Araştırma Çıktıları | Scopus İndeksli Yayınlar Koleksiyonu [1057]
  • Araştırma Çıktıları | Web of Science İndeksli Yayınlar Koleksiyonu [1070]
  • Makale Koleksiyonu [202]
  • Makale Koleksiyonu [161]



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