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dc.contributor.authorMohammed, Husham J.*
dc.contributor.authorAbdullah, Abdulkareem S.*
dc.contributor.authorAli, R.S.*
dc.contributor.authorAbdulraheem, Yasir I.*
dc.contributor.authorAbd-Alhameed, Raed*
dc.date.accessioned2016-07-22T12:39:51Z
dc.date.available2016-07-22T12:39:51Z
dc.date.issued2014-08
dc.identifier.citationMohammed HJ, Abdullah AS, Ali RS et al (2014) Performance Comparison of Particle Swarm Optimization, and Genetic Algorithm in the Design of UWB Antenna. Journal of Telecommunications. 27(2): 22-26.en_US
dc.identifier.urihttp://hdl.handle.net/10454/8680
dc.descriptionYesen_US
dc.description.abstractAn efficient multi-object evolutionary algorithms are proposed for optimizing frequency characteristics of antennas based on an interfacing created by Matlab environment. This interface makes a link with CST Microwave studio where the electromagnetic investigation of antenna is realized. Very small, compact printed monopole antenna is optimized for ultra- wideband (UWB) applications. Two objective functions are introduced; the first function intends to increase the impedance bandwidth, and second function to tune the antenna to resonate at a particular frequency. The two functions operate in the range of 3.2 to 10.6 GHz and depend on the level of return loss. The computed results provide a set of proper design for UWB system in which the bandwidth achieved is 7.5GHz at the resonance frequency 4.48GHz, including relatively stable gain and radiation patterns across the operating band.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttp://www.journaloftelecommunications.co.uk/volume-27-issue-2-october-2014en_US
dc.rights© 2014. Reproduced in accordance with the publisher's self-archiving policy.en
dc.subjectUWB antennaen_US
dc.subjectBio-inspired algorithms
dc.subjectGenetic Algorithm
dc.subjectGA
dc.subjectParticle Swarm Optimization
dc.titlePerformance Comparison of Particle Swarm Optimization, and Genetic Algorithm in the Design of UWB Antennaen_US
dc.status.refereedYesen_US
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US


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