Weight vector estimation of circular arrays of antennas using Artificial Neural Networks

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorDe Alcantara, N. P.
dc.date2014-05-27T11:23:47Z
dc.date2016-10-25T18:26:31Z
dc.date2014-05-27T11:23:47Z
dc.date2016-10-25T18:26:31Z
dc.date2008-12-01
dc.date.accessioned2017-04-06T01:34:16Z
dc.date.available2017-04-06T01:34:16Z
dc.identifierProceedings of the IASTED International Conference on Intelligent Systems and Control, p. 93-98.
dc.identifier1025-8973
dc.identifierhttp://hdl.handle.net/11449/70784
dc.identifierhttp://acervodigital.unesp.br/handle/11449/70784
dc.identifier2-s2.0-74549119520
dc.identifierhttp://www.actapress.com/Abstract.aspx?paperId=34385
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/891851
dc.descriptionThis paper presents a model for the control of the radiation pattern of a circular array of antennas, shaping it to address the radiation beam in the direction of the user, in order to reduce the transmitted power and to attenuate interference. The control of the array is based on Artificial Neural Networks (ANN) of the type RBF (Radial Basis Functions), trained from samples generated by the Wiener equation. The obtained results suggest that the objective was reached.
dc.languageeng
dc.relationProceedings of the IASTED International Conference on Intelligent Systems and Control
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectArray of antennas
dc.subjectIntelligent control
dc.subjectMobile equipments
dc.subjectSmart antennas
dc.subjectArtificial Neural Network
dc.subjectCircular arrays
dc.subjectRadial basis functions
dc.subjectRadiation beams
dc.subjectRadiation patterns
dc.subjectTransmitted power
dc.subjectWeight vector
dc.subjectDirectional patterns (antenna)
dc.subjectIntelligent systems
dc.subjectLocal area networks
dc.subjectMobile telecommunication systems
dc.subjectNeural networks
dc.subjectRadial basis function networks
dc.subjectWireless networks
dc.subjectMobile antennas
dc.titleWeight vector estimation of circular arrays of antennas using Artificial Neural Networks
dc.typeOtro


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