On the divergence calculation of the Extended Kalman Filtering for chaotic signals

dc.contributor.authorKontorovich, Valeri
dc.contributor.authorRamos-Alarcón, Fernando
dc.contributor.authorArditti, David
dc.date.accessioned2014-07-14T08:40:14Z
dc.date.available2014-07-14T08:40:14Z
dc.date.issued2013
dc.description.abstractThe Extended Kalman Filter (EKF) has become one of the options to achieved synchronization of chaotic signals with important applications for wireless communications. However the joint operation of the EKF and the chaotic signals suffers from several reported drawbacks that negatively affect the performance of the EKF up to a breaking point. This paper shows a rather simple way of establishing a reference threshold that allows to avoid the breaking point and keeps the EKF in a working regime that yields good performance in terms of the Mean Square Error (MSE) between the real and estimated chaotic signals. Three different chaotic systems are used to illustrate the proposed approach.en
dc.format2 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationISTET 2013: International Symposiumon Theoretical Electrical Engineering: 24th – 26th June 2013: Pilsen, Czech Republic, p. III-29-III-30.en
dc.identifier.isbn978-80-261-0246-5
dc.identifier.urihttp://hdl.handle.net/11025/11496
dc.language.isoenen
dc.publisherUniversity of West Bohemiaen
dc.relation.ispartofseriesISTET: International Symposium on Theoretical Electrical Engineeringen
dc.rights© University of West Bohemiaen
dc.rights.accessopenAccessen
dc.subjectrozšířený Kalmánův filtercs
dc.subjectnelineární modelovánícs
dc.subjectchaotické signálycs
dc.subject.translatedextended Kalman filteren
dc.subject.translatednon-linear modellingen
dc.subject.translatedchaotic signalsen
dc.titleOn the divergence calculation of the Extended Kalman Filtering for chaotic signalsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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