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dc.contributor.authorVakula, D.-
dc.contributor.authorSarma, N.V.S.N-
dc.date.accessioned2024-12-03T07:00:43Z-
dc.date.available2024-12-03T07:00:43Z-
dc.date.issued2009-
dc.identifier.citation10.1002/mmce.20348en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/1906-
dc.descriptionNITWen_US
dc.description.abstractA method for detection of faulty elements in antenna arrays from far-field radiation pattern is presented. The proposed technique finds variation of current from correct values in the faulty elements. A step wise approach is proposed to determine magnitude and phase of current excitation and location of faulty element using neural networks. The results with radial basis function neural network and probabilistic neural network are compared. © 2008 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2009.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of RF and Microwave Computer-Aided Engineeringen_US
dc.subjectFar-field radiation patternen_US
dc.subjectCurrent magnitude faultsen_US
dc.subjectCurrent phase faultsen_US
dc.subjectArtificialneural network and array factoren_US
dc.titleA Method for Diagnosis of Current Faults in AntennaArrays Using Neural Networksen_US
dc.typeArticleen_US
Appears in Collections:Electronics and Communications Engineering

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