Show simple item record

Kernel Antenna Array Processing

dc.contributor.authorMartínez Ramón, Manel
dc.contributor.authorRojo-Álvarez, José Luis
dc.contributor.authorCamps Valls, Gustavo
dc.contributor.authorCristodoulou, Christos G
dc.date.accessioned2009-02-04T15:35:44Z
dc.date.available2009-02-04T15:35:44Z
dc.date.issued2007-03-01
dc.identifier.issn0018-926X
dc.identifier.urihttp://hdl.handle.net/10115/1909
dc.description.abstractWe introduce two support vector machine (SVM)-based approaches for solving antenna problems such as beamforming, sidelobe suppression, and maximization of the signal-to-noise ratio. A basic introduction to SVM optimization is provided and a complex nonlinear SVM formulation developed to handle antenna array processing in space and time. The new optimization formulation is compared with both the minimum mean square error and the minimum variance distortionless response methods. Several examples are included to show the performance of the new approaches.es
dc.language.isoenes
dc.relation.ispartofseriesIEEE Transactions on Antenna and Propagationes
dc.relation.ispartofseries55(3)es
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectTelecomunicacioneses
dc.titleKernel Antenna Array Processinges
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.subject.unesco3325 Tecnología de las Telecomunicacioneses
dc.description.departamentoTeoría de la Señal y Comunicaciones


Files in this item

This item appears in the following Collection(s)

Show simple item record

Atribución-NoComercial-SinDerivadas 3.0 EspañaExcept where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España