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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 1/2021

19.01.2021

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

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

Erschienen in: Wireless Personal Communications | Ausgabe 1/2021

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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.
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Metadaten
Titel
Optimizing the Gain and Directivity of a Microstrip Antenna with Metamaterial Structures by Using Artificial Neural Network Approach
verfasst von
Metin Sağık
Olcay Altıntaş
Emin Ünal
Ersin Özdemir
Mustafa Demirci
Şule Çolak
Muharrem Karaaslan
Publikationsdatum
19.01.2021
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 1/2021
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-08004-8

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