Publication:
Optimization and comparative analysis of quarter-circular slotted microstrip patch antenna using particle swarm and fruit fly algorithms

dc.contributor.authorKarpat, Esin
dc.contributor.authorİmamoğlu, Fatih
dc.contributor.buuauthorKARPAT, ESİN
dc.contributor.buuauthorİmamoğlu, Fatih
dc.contributor.departmentBursa Uludağ Üniversitesi/Elektrik-Elektronik Mühendisliği Bölümü
dc.contributor.orcid0000-0002-2740-8183
dc.contributor.researcheridAAH-3387-2021
dc.contributor.researcheridJGK-2973-2023
dc.date.accessioned2024-10-01T05:28:58Z
dc.date.available2024-10-01T05:28:58Z
dc.date.issued2023-07-01
dc.description.abstractThis paper proposes a parametric study of modified rectangular microstrip antenna in the frequency range between 1.4-2.65 GHz for wireless communication applications, incorporating with optimization methods Particle Swarm Optimization (PSO) and Fruit Fly Optimization (FOA). To design an antenna using optimization methods a fitness function of required parameters is needed. The resonance frequency of Microstrip Patch Antennas (MPAs) depends on various parameters and a standard frequency function does not exist for MPAs. In this study, a rectangular patch antenna is designed for the required resonance frequency and modified with circular quarter slots. The frequency-shift with the change of design variables, which are the substrate thickness and the radius of the slots, is observed. The resonance frequency is obtained as a function of the design variables and it is used in the optimization process to minimize the difference between the target frequency and the calculated one. The original algorithms FOA and PSO have been adapted for its application to a modified rectangular patch antenna design problem: resonance frequency and design of antenna. The design parameter values obtained via optimization and the performances of the optimization methods are presented. The results showed that both PSO and FOA find the dimensions correctly. It is also observed that the sensitivity of the FOA increases with the fruit fly population and the convergence gets faster. The outcomes of this paper show that the PSO algorithm gives better results when compared to the FOA for the proposed antenna.
dc.identifier.doi10.34028/iajit/20/4/9
dc.identifier.endpage631
dc.identifier.issn1683-3198
dc.identifier.issue4
dc.identifier.startpage624
dc.identifier.urihttps://doi.org/10.34028/iajit/20/4/9
dc.identifier.urihttps://iajit.org/upload/files/Optimization-and-Comparative-Analysis-of-Quarter-Circular-Slotted-Microstrip-Patch-Antenna-Using-Particle-Swarm-and-Fruit-Fly-Algorithms.pdf
dc.identifier.urihttps://hdl.handle.net/11452/45546
dc.identifier.volume20
dc.identifier.wos001068521300009
dc.indexed.wosWOS.SCI
dc.language.isoen
dc.publisherZarka Private Univ
dc.relation.journalInternational Arab Journal of Information Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAnt-colony-optimization
dc.subjectArray synthesis
dc.subjectDesign
dc.subjectMicrostrip antenna design
dc.subjectParticle swarm optimization
dc.subjectFruit fly optimization
dc.subjectScience & technology
dc.subjectTechnology
dc.subjectComputer science, artificial intelligence
dc.subjectComputer science, information systems
dc.subjectEngineering, electrical & electronic
dc.subjectComputer science
dc.subjectEngineering
dc.titleOptimization and comparative analysis of quarter-circular slotted microstrip patch antenna using particle swarm and fruit fly algorithms
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication99e2dd84-0120-4c04-a2f5-3b242abc84f2
relation.isAuthorOfPublication.latestForDiscovery99e2dd84-0120-4c04-a2f5-3b242abc84f2

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Karpat_İmamoğlu_2023.pdf
Size:
952.57 KB
Format:
Adobe Portable Document Format

Collections