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dc.contributor.authorDemircioglu, Erdem
dc.contributor.authorYagli, Ahmet Fazil
dc.contributor.authorGulgonul, Senol
dc.contributor.authorAnkishan, Haydar
dc.contributor.authorTartan, Emre Oner
dc.contributor.authorSazli, Murat H.
dc.contributor.authorImeci, Taha
dc.date.accessioned2019-09-27T13:03:39Z
dc.date.available2019-09-27T13:03:39Z
dc.date.issued2015
dc.identifier.issn1687-5869
dc.identifier.urihttps://www.hindawi.com/journals/ijap/2015/165717/
dc.identifier.urihttp://hdl.handle.net/11727/4010
dc.description.abstractThis paper discusses bandwidth enhancement for multiband microstrip patch antennas (MMPAs) using symmetrical rectangular/square slots etched on the patch and the substrate properties. The slot parameters on MMPA are modeled using soft computing technique of artificial neural networks (ANN). To achieve the best ANN performance, Particle Swarm Optimization (PSO) and Differential Evolution (DE) are applied with ANN's conventional training algorithm in optimization of the modeling performance. In this study, the slot parameters are assumed as slot distance to the radiating patch edge, slot width, and length. Bandwidth enhancement is applied to a formerly designed MMPA fed by a microstrip transmission line attached to the center pin of 50 ohm SMA connecter. The simulated antennas are fabricated and measured. Measurement results are utilized for training the artificial intelligence models. The ANN provides 98% model accuracy for rectangular slots and 97% for square slots; however, ANFIS offer 90% accuracy with lack of resonance frequency tracking.en_US
dc.language.isoengen_US
dc.relation.isversionof10.1155/2015/165717en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPARTICLE SWARM OPTIMIZATIONen_US
dc.subjectDIFFERENTIAL EVOLUTION ALGORITHMen_US
dc.subjectMICROSTRIP ANTENNAen_US
dc.subjectGENETIC ALGORITHMSen_US
dc.subjectPATCH ANTENNAen_US
dc.subjectDESIGNen_US
dc.subjectARRAYen_US
dc.subjectELECTROMAGNETICSen_US
dc.titleSlot Parameter Optimization for Multiband Antenna Performance Improvement Using Intelligent Systemsen_US
dc.typearticleen_US
dc.relation.journalINTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATIONen_US
dc.identifier.wos000365574800001en_US
dc.identifier.scopus2-s2.0-84948808702en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergien_US


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