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dc.contributor.authorPérez López, Jesús Ramón 
dc.contributor.authorBasterrechea Verdeja, José 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2013-09-24T06:20:33Z
dc.date.available2013-09-24T06:20:33Z
dc.date.issued2004-09
dc.identifier.urihttp://hdl.handle.net/10902/3396
dc.description.abstractThe performance of different local and global optimisers applied to antenna far-field pattern prediction from planar near-field information is presented. The method proposed replaces the antenna under test by equivalent magnetic surface currents whose components are computed from reference near-field data using an appropriate optimisation technique. From the optimised equivalent model, antenna far-fields can be reconstructed. The Nelder Mead downhill simplex algorithm, along with global optimisers such as genetic algorithms (GA) and simulated annealing (SA) were all investigated and compared. Numerical results demonstrate that hybrid GA outperform local optimisers, classical real and binary encoding GA and SA. Results of near-field to far-field transformation are also included and discussed.es_ES
dc.format.extent4 p.es_ES
dc.language.isospaes_ES
dc.rights© 2004 URSI Españaes_ES
dc.sourceURSI 2004, XIX Simposium Nacional de la Unión Científica Internacional de Radio, Barcelonaes_ES
dc.titleAplicación de algoritmos genéticos y recocido simulado a la reconstrucción del diagrama de radiación de antenases_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessRightsopenAccesses_ES
dc.type.versionpublishedVersiones_ES


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