Ultra-Wideband (UWB) characteristic estimation of elliptic patch antenna based on machine learning techniques

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dc.contributor.authorGencoglan, Duygu Nazan
dc.contributor.authorArslan, Mustafa Turan
dc.contributor.authorColak, Sule
dc.contributor.authorYildirim, Esen
dc.date.accessioned2025-01-06T17:36:21Z
dc.date.available2025-01-06T17:36:21Z
dc.date.issued2020
dc.description.abstractIn this study, estimation of Ultra-Wideband (UWB) characteristics of microstrip elliptic patch antenna is investigated by means of k-nearest neighborhood algorithm. A total of 16,940 antennas are simulated by changing antenna dimensions and substrate material. Antennas are examined by observing Return Loss and Voltage Standing Wave Ratio (VSWR) characteristics. In the study, classification of antennas in terms of having UWB characteristics results in accuracies higher than 97%. Additionally, Consistency based Feature Selection method is applied to eliminate redundant and irrelevant features. This method yields that substrate material does not affect the UWB characteristics of the antenna. Classification process is repeated for the reduced feature set, reaching to 97.44% accuracy rate. This result is validated by 854 antennas, which are not included in the original antenna set. Antennas are designed for seven different substrate materials keeping all other parameters constant. Computer Simulation Technology Microwave Studio (CST MWS) is used for the design and simulation of the antennas.
dc.identifier.doi10.1515/freq-2019-0210
dc.identifier.endpage358
dc.identifier.issn0016-1136
dc.identifier.issn2191-6349
dc.identifier.issue9-10
dc.identifier.scopus2-s2.0-85087962760
dc.identifier.scopusqualityQ3
dc.identifier.startpage351
dc.identifier.urihttps://doi.org/10.1515/freq-2019-0210
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1841
dc.identifier.volume74
dc.identifier.wosWOS:000575409400007
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWalter De Gruyter Gmbh
dc.relation.ispartofFrequenz
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectantenna design
dc.subjectconsistency based feature selection (CbFS)
dc.subjectk-Nearest neighborhood algorithm (kNN)
dc.subjectmicrostrip patch antenna
dc.subjectsubstrate materials
dc.subjectUWB antenna
dc.titleUltra-Wideband (UWB) characteristic estimation of elliptic patch antenna based on machine learning techniques
dc.typeArticle

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