Effects of Microstrip Feed Line Width on 1 £4 Rectangular Microstrip Antenna Array Electrical Parameters and Estimation with Artificial Neural Networks

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dc.contributor.authorDündar, O.
dc.contributor.authorUzer, D.
dc.contributor.authorGültekin, S. S.
dc.contributor.authorBayrak, M.
dc.date.accessioned2020-03-26T18:32:44Z
dc.date.available2020-03-26T18:32:44Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.descriptionTELEKOM Malaysia;TELEKOM Malaysia Research and Development;Motorola Solutions;Malaysia Convention and Exhibition Bureau (MyCeb)en_US
dc.descriptionProgress in Electromagnetics Research Symposium, PIERS 2012 Kuala Lumpur -- 27 March 2012 through 30 March 2012 -- Kuala Lumpur -- 93700en_US
dc.description.abstractIn this study, 1 £ 4 rectangular microstrip array antennas are designed at 16 GHz resonant frequency for KU Band usage on Duroid 5880 substrate that has a thickness of 0.254mm and a dielectric constant of 2.2.Designs are simulated using HFSS v12.At these designs, by changing the feed line widths systematically, for each antenna, electrical parameters like S 11 response, directivity, gain, radiation efficiency etc.are investigated for 26 array antennas in simulation media.Also, directivity and gain values are predicted with an Artificial Neural Network model.The network has four inputs as dielectric substrate thickness, resonant frequency and dielectric constant of the substrate and three outputs as directivity, gain and radiation efficiency.Multilayer perceptron structure for Artificial Neural Network model and Levenberg- Marquart learning algorithm for training the network are used.The network model is trained with 20 of 26 design data and is tested with the rest 6 ones.It is seen that the results from simulations and the neural network model are compatible with similar studies in the literature.en_US
dc.identifier.citationDündar, O., Uzer, D., Gültekin, S. S., Bayrak, M., (2012). Effects of Microstrip Feed Line Width on 1 £4 Rectangular Microstrip Antenna Array Electrical Parameters and Estimation with Artificial Neural Networks. Progress in Electromagnetics Research Symposium, 2012, 1341-1345.
dc.identifier.endpage1345en_US
dc.identifier.isbn9.78193E+12
dc.identifier.issn1559-9450en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1341en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/28761
dc.indekslendigikaynakScopusen_US
dc.institutionauthorDündar, O.
dc.institutionauthorUzer, D.
dc.institutionauthorGültekin, S. S.
dc.language.isoenen_US
dc.relation.ispartofProgress in Electromagnetics Research Symposiumen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleEffects of Microstrip Feed Line Width on 1 £4 Rectangular Microstrip Antenna Array Electrical Parameters and Estimation with Artificial Neural Networksen_US
dc.typeConference Objecten_US

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