A programmable digital metasurface structure designed using ANN technique

Basit Öğe Kaydı
dc.contributor.authorAltintarla, Gizem
dc.contributor.authorUnal, Emin
dc.contributor.authorAltintas, Olcay
dc.contributor.authorGencoglan, Duygu N.
dc.contributor.authorColak, Sule
dc.contributor.authorNazeri, Amir H.
dc.contributor.authorAlkurt, Fatih Ozkan
dc.date.accessioned2024-02-23T14:17:10Z
dc.date.available2024-02-23T14:17:10Z
dc.date.issued2023
dc.departmentNEÜen_US
dc.description.abstractIn this paper, an 8-bit programmable digital metasurface is designed in the operating frequency range from 4 to 7 GHz. A monopole antenna operating at 5 GHz is characterised by using a metasurface structure as the ground plane. Various combinations of the metasurface structure are examined by altering the state of each unit-cell between `ON (1)' and `OFF (0)' in the coding matrix. The purpose of the 8-bit programmable digital metasurface is to control the electromagnetic wave effectively in the frequency range of interest. Dynamically controllable metasurface structure is utilised to change the unit cells' configurations. In addition, the proposed adjustable metasurface is capable to control the monopole antenna directivity, gain and main lobe magnitude, efficiently. According to various via conditions, different metasurface-based antenna parameters such as return loss (S11), radiation pattern, directivity and surface current distribution are investigated by means of the commercial numerical simulation software, CST microwave studio. Employing the simulation results of the metasurface-based antennas, the artificial neural network (ANN) data set is obtained. 128 activation conditions are trained and tested by Levenberg Marquart learning algorithm. During the ANN procedure, MATLAB is used to obtain accurate results by changing the rate of test and training data set.en_US
dc.description.sponsorshipYuksekogretim Kurulu [100/2000]en_US
dc.description.sponsorshipThis work was supported by the Yuksekogretim Kurulu [100/2000].en_US
dc.identifier.doi10.1080/00207217.2022.2118844
dc.identifier.endpage1668en_US
dc.identifier.issn0020-7217
dc.identifier.issn1362-3060
dc.identifier.issue9en_US
dc.identifier.scopus2-s2.0-85137803028en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage1652en_US
dc.identifier.urihttps://doi.org/10.1080/00207217.2022.2118844
dc.identifier.urihttps://hdl.handle.net/20.500.12452/12967
dc.identifier.volume110en_US
dc.identifier.wosWOS:000850124400001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofInternational Journal Of Electronicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMetasurfaceen_US
dc.subjectArtificial Neural Networken_US
dc.subjectMicrowaveen_US
dc.subjectAntennaen_US
dc.titleA programmable digital metasurface structure designed using ANN techniqueen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu