Optimal Pattern Synthesis of Thinned and Non-Uniformly Excited Concentric Circular Array Antennas using Hybrid GSA-PSO Technique

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dc.contributor.authorBera, Rajesh
dc.contributor.authorKundu, Krishanu
dc.contributor.authorPathak, Narendra Nath
dc.coverage.issue2cs
dc.coverage.volume28cs
dc.date.accessioned2020-04-30T10:34:52Z
dc.date.available2020-04-30T10:34:52Z
dc.date.issued2019-06cs
dc.description.abstractSide Lobe Level (SLL) is considered as the most significant array pattern parameter as it helps in reducing surrounding noise and interference. As higher SLL value results in higher wastage of power in undesired direction, transmitters of wireless communication systems face serious problems. In this paper, the optimal design of seven different sets of concentric circular antenna arrays (CCAAs) of isotropic antenna has been represented with the goal of maximum reduction in SLL. Optimal pattern synthesis of the proposed arrays has been executed by optimizing the normalized current distributions of array elements having fixed inter-element spacing. In present work inter-ring spacing has been fixed at 0.5λ.In order to achieve low SLL in the radiation pattern of the optimized array antenna, many conventional optimization methods have been proposed in last few decades for handling complex, non-differentiable, discontinuous and highly nonlinear array factor. To deal with the problems of premature convergence (fall into local optima) feature of gravitational search algorithm (GSA) and particle swarm optimization (PSO) has been merged. In high-dimensional space, gravitational search algorithm hybridized with particle swarm optimization (GSA-PSO) is considered while preserving the fast converging property of them. Numerical results in the present text assume the pattern synthesis of thinned array and non-uniformly excited array for seven different sets of CCAA geometries. An exhaustive simulation results are presented and the radiation pattern performances are analyzed. As compared with conventional optimization techniques like GSA and PSO, hybrid GSA-PSO technique outperforms with the goal of maximum SLL suppression.en
dc.formattextcs
dc.format.extent369-385cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2019 vol. 28, č. 2, s. 369-385. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2019.0369en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/186871
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2019/19_02_0369_0385.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectConcentric circular antenna arrayen
dc.subjectGravitational Search Algorithm (GSA)en
dc.subjectParticle Swarm Optimization (PSO)en
dc.subjectSide Lobe Level (SSL)en
dc.subjectthinningen
dc.subjectGravitational Search Algorithm hybridized with Particle Swarm Optimization (GSA-PSO)en
dc.titleOptimal Pattern Synthesis of Thinned and Non-Uniformly Excited Concentric Circular Array Antennas using Hybrid GSA-PSO Techniqueen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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