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dc.contributor.authorLi, Hailin
dc.contributor.authorLiu, Jialing
dc.contributor.authorSun, Jie
dc.contributor.authorCao, Aihua
dc.contributor.authorJin, Can
dc.contributor.authorZhou, Jianjiang
dc.date.accessioned2020-04-21T09:37:18Z
dc.date.available2020-04-21T09:37:18Z
dc.date.issued2018-12cs
dc.identifier.citationRadioengineering. 2018 vol. 27, č. 4, s. 1128-1137. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/186812
dc.description.abstractBased on Particle Swarm Optimization (PSO) and Second-Order Cone Programming (SOCP) algorithm, this paper proposes a hybrid optimization method to suppress the grating lobes of sparse arrays and improve the robustness of array layout. With the peak side-lobe level (PSLL) as the objective function, the paper adopts the particle swarm optimization as a global optimization algorithm to optimize the elements’ positions, the convex optimization as a local optimization algorithm to optimize the elements’ weights. The effectiveness of the grating lobes suppression (as low as -32.13 dB) by this method is illustrated through its application to the sparse linear array when the actual steering vector is known. To enhance the robustness of the optimized array, a rebuilt robust convex optimization model is adopted in the optimization of both array excitations and layout. When the array manifold mismatch error is 1cm, the PSLL by the robust algorithm can be compressed to -27dB, compared to that of -24dB by the ordinary optimization. Results of a set of representative numerical experiments show that the algorithm proposed in this paper can obtain a more robust array layout and matched elements’ weight coefficients to avoid the huge degradation of the array pattern performance in the presence of array manifold mismatch errors. The good performance of pattern synthesis demonstrates the effectiveness of the proposed robust algorithm.en
dc.formattextcs
dc.format.extent1128-1137cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2018/18_04_1128_1137.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectParticle Swarm Optimization(PSO)en
dc.subjectSecond-Order Cone Programming (SOCP)en
dc.subjectarray manifold mismatchen
dc.subjectgrating lobes suppressionen
dc.subjecthybrid algorithmen
dc.titleRobust Hybrid Algorithm of PSO and SOCP for Grating Lobe Suppression and against Array Manifold Mismatchen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue4cs
dc.coverage.volume27cs
dc.identifier.doi10.13164/re.2018.1128en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International license