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dc.contributor.authorPapadimitriou, D.en
dc.contributor.authorVardiambasis, I. O.en
dc.contributor.authorMelesanaki, T.en
dc.contributor.authorVardiambasis, K.en
dc.coverage.spatialCY - Λευκωσίαen
dc.creatorPapadimitriou, D.en
dc.creatorVardiambasis, I. O.en
dc.creatorMelesanaki, T.en
dc.creatorVardiambasis, K.en
dc.date.accessioned2021-05-19T11:54:12Z
dc.date.available2021-05-19T11:54:12Z
dc.date.issued2007
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/64683
dc.descriptionΠεριέχει το πλήρες κείμενοel
dc.description.abstractThe increasing demand for mobile communication services without a corresponding increase in radio frequency spectrum allocation motivates the need for new techniques to improve spectrum utilization. An approach that shows real spectrum utilization for substantial capacity enhancement is the use of smart antennas. The smart antennas are capable of automatically forming beams in the direction of the desired signal and steering nulls in the directions of the interfering signals. Another approach that satisfies the demand for quality of services in a mobile communication system is the communication system’s capability to estimate and predict the location of a mobile user. In this paper we present a computer-based system that tracks the position and estimates the velocity of a mobile user, using smart antennas on the base stations. The mobile user is moving in an area where the GSM principles are applied, while the position and velocity estimations’ accuracy are checked using four different adaptive algorithms.en
dc.language.isoengen
dc.publisherUniversity of Cyprusen
dc.relation.ispartofComputer scienceen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightsOpen Accessen
dc.sourceCBLIS Conference Proceedings 2007 Contemporary Perspective on new technologies in science and educationen
dc.titleMobile station position and velocity computerbased Estimation using adaptive algorithms and Smart antennasen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.subject.uncontrolledtermMobile communicationsen
dc.subject.uncontrolledtermMobile stationen
dc.subject.uncontrolledtermPosition estimationen
dc.subject.uncontrolledtermVelocity estimationen
dc.subject.uncontrolledtermAdaptive algorithmsen
dc.subject.uncontrolledtermSmart antennasen
dc.subject.uncontrolledtermLeast mean squaresen
dc.subject.uncontrolledtermSample matrix inversionen
dc.contributor.conferenceorganizerLearning in Science Group, University of Cyprusen
dc.contributor.coordinatorConstantinou, Constantinos P.en
dc.author.facultyΣχολή Κοινωνικών Επιστημών και Επιστημών Αγωγής / Faculty of Social Sciences and Education
dc.author.departmentΤμήμα Επιστημών της Αγωγής / Department of Education
dc.type.uhtypeConference Objecten
dc.contributor.orcidConstantinou, Constantinos P. [0000-0003-3183-4131]
dc.gnosis.orcid0000-0003-3183-4131


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