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dc.contributor.authorTobes, Z.
dc.contributor.authorRaida, Zbyněk
dc.date.accessioned2016-04-28T11:57:20Z
dc.date.available2016-04-28T11:57:20Z
dc.date.issued2002-09cs
dc.identifier.citationRadioengineering. 2002, vol. 11, č. 3, s. 14-21. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58152
dc.description.abstractIn the paper, original control system of adaptive antennas, which is based on Kalman filter, is presented and compared with earlier approaches to this problem. The designed control circuit eliminates some disadvantages of the control circuits based on the classical Kalman neural network and the Wang one, and enables a real time processing of quickly changing signals processed by adaptive antennas. Especially, the dependence of the convergence rate on ratio of eigenvalues and the risk of instability are significantly reduced.en
dc.formattextcs
dc.format.extent14-21cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2002/02_03_14_21.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectAnalog recurrent neural networksen
dc.subjectKalman filteren
dc.subjectadaptive antennaen
dc.subjectconvergence rateen
dc.titleUse of the Analog Neural Networks in the Adaptive Antenna Control Systemsen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue3cs
dc.coverage.volume11cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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