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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributorWayamba University of Sri Lanka
dc.contributorFractus
dc.contributorUniversity of Peradeniya
dc.contributor.authorJayasinghe, Jeevani
dc.contributor.authorAnguera Pros, Jaume
dc.contributor.authorUduwawala, Disala
dc.contributor.authorAndújar Linares, Aurora
dc.date.accessioned2020-05-19T13:18:15Z
dc.date.accessioned2023-10-02T06:36:09Z
dc.date.available2020-05-19T13:18:15Z
dc.date.available2023-10-02T06:36:09Z
dc.date.created2014-08
dc.date.issued2015-01
dc.identifier.urihttp://hdl.handle.net/20.500.14342/3348
dc.description.abstractGenetic algorithm (GA) has been a popular optimization technique used for performance improvement of microstrip patch antennas (MPAs).When using GA, the patch geometry is optimized by dividing the patch area into small rectangular cells.This has an inherent problem of adjacent cells being connected to each other with infinitesimal connections, which may not be achievable in practice due to fabrication tolerances in chemical etching. As a solution, this paper presents a novelmethod of dividing the patch area into cells with nonuniform overlaps. The optimized design, which is obtained by using fixed overlap sizes, shows a quad-band performance covering GSM1800, GSM1900, LTE2300, and Bluetooth bands. In contrast, use of nonuniform overlap sizes leads to obtaining a pentaband design covering GSM1800, GSM1900, UMTS, LTE2300, and Bluetooth bandswith fractional bands with of 38% due to the extra design flexibility.eng
dc.format.extent8 p.cat
dc.language.isoengcat
dc.publisherHindawi Publishing Corporationcat
dc.relation.ispartofInternational Journal of Antennas and Propagation. 2015cat
dc.rightsAttribution 4.0 International
dc.rights© L'autor/a
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceRECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.otherSistema global per a comunicacions mòbilscat
dc.subject.otherTelefonia mòbilcat
dc.titleNonuniform Overlapping Method in Designing Microstrip Patch Antennas Using Genetic Algorithm Optimizationcat
dc.typeinfo:eu-repo/semantics/articlecat
dc.typeinfo:eu-repo/semantics/publishedVersioncat
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapcat
dc.identifier.doihttp://dx.doi.org/10.1155/2015/805820cat


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