A programmable digital metasurface structure designed using ANN technique

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dc.contributor.authorAltıntarla, Gizem
dc.contributor.authorÜnal, Emin
dc.contributor.authorAltıntaş, Olcay
dc.contributor.authorGençoğlan, Duygu N.
dc.contributor.authorÇolak, Şule
dc.contributor.authorNazeri, Amir H.
dc.contributor.authorAlkurt, Fatih Özkan
dc.date.accessioned2025-01-06T17:30:11Z
dc.date.available2025-01-06T17:30:11Z
dc.date.issued2023
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. © 2022 Informa UK Limited, trading as Taylor & Francis Group.
dc.identifier.doi10.1080/00207217.2022.2118844
dc.identifier.endpage1668
dc.identifier.issn0020-7217
dc.identifier.issue9
dc.identifier.scopus2-s2.0-85137803028
dc.identifier.scopusqualityQ3
dc.identifier.startpage1652
dc.identifier.urihttps://doi.org/10.1080/00207217.2022.2118844
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1508
dc.identifier.volume110
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor and Francis Ltd.
dc.relation.ispartofInternational Journal of Electronics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectantenna
dc.subjectartificial neural network
dc.subjectMetasurface
dc.subjectmicrowave
dc.titleA programmable digital metasurface structure designed using ANN technique
dc.typeArticle

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