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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributorRaghu Institute of Technology
dc.contributorFractus Antennas
dc.contributorBerhampur University
dc.contributor.authorPaladuga, Chowdary S.R.
dc.contributor.authorVedula, Chakravarthy V.S.S.S.
dc.contributor.authorAnguera Pros, Jaume
dc.contributor.authorMishra, Rabindra K.
dc.contributor.authorAndújar Linares, Aurora
dc.date.accessioned2020-06-16T16:21:34Z
dc.date.accessioned2023-10-02T06:33:45Z
dc.date.available2020-06-16T16:21:34Z
dc.date.available2023-10-02T06:33:45Z
dc.date.created2017-02
dc.date.issued2018-03
dc.identifier.urihttp://hdl.handle.net/20.500.14342/3314
dc.description.abstractAntenna array synthesis for desired radiation characteristics is a challenging field of research in electromagnetics. When an array synthesis problem is visualized as an optimization problem several design parameters involved in synthesis process are considered as degrees of freedom. Every combination of design parameters forms a synthesis technique. In this paper, certain emphasis is given to analyse the techniques of linear array (LA) design using evolutionary computing tools. Novel computing tools like Flower Pollination Algorithm is used for LA synthesis using different degrees of freedom and compared with a conventional Tchebycheff method. Accelerated Particle Swarm Optimization (APSO) is also employed to study the consistency of the technique with the employed computing tool. Radiation patterns are generated with optimized SLL and Tchebycheff beamwidth constraint.eng
dc.format.extent6 p.cat
dc.language.isoengcat
dc.publisherThe Applied Computational Electromagnetics Societycat
dc.relation.ispartofACES Journal, 2018. Vol. 33, 3 (Març)cat
dc.rights© The Applied Computational Electromagnetics Society. Tots els drets reservats
dc.sourceRECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.otherAntenes de microonescat
dc.subject.otherAlgorismescat
dc.subject.otherMatrius (Matemàtica)cat
dc.titlePerformance of Beamwidth Constrained Linear Array Synthesis Techniques Using Novel Evolutionary Computing Toolscat
dc.typeinfo:eu-repo/semantics/articlecat
dc.typeinfo:eu-repo/semantics/publishedVersioncat
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapcat


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