Cluster based sensors scheduling in a target tracking application with particle filter method

Basit Öğe Kaydı
dc.contributor.advisorBayazıt, Uluğen_US
dc.contributor.authorÖzfidan, Özgüren_US
dc.contributor.otherIşık Üniversitesi, Fen Bilimleri Enstitüsü, Elektronik Mühendisliği Yüksek Lisans Programıen_US
dc.date.accessioned2016-06-09T11:18:45Z
dc.date.available2016-06-09T11:18:45Z
dc.date.issued2006
dc.departmentIşık Üniversitesi, Fen Bilimleri Enstitüsü, Elektronik Mühendisliği Yüksek Lisans Programıen_US
dc.descriptionText in English ; Abstract: Englishen_US
dc.descriptionIncludes bibliographical references (leaves 39-40)en_US
dc.descriptionvii, 40 leavesen_US
dc.description.abstractIn multisensor applications, management of sensors is neccessary for the classification of data they produce and for the efficient use of sensors as well. One of the most important aspects in sensor management is the sensor scheduling. By scheduling the sensors, serious redictions can be achieved in the cost of bandwith, power and computation. In this thesis, a simple solution for the problem of sensor scheduling in a multi-sensor target tracking application is presented. Proposed method is called sensor grouping. Due to non-linearity and non-gaussianity of the problem itself, proposed solution is presented in the framework of non-linear Bayesian Estimation. For this purpose a detailedtheoretical background of the theory of Bayesian Tracking and Particle Filtering algorithm is given.en_US
dc.description.tableofcontentsMotivationen_US
dc.description.tableofcontentsProblem Statementen_US
dc.description.tableofcontentsOrganisationen_US
dc.description.tableofcontentsBAYESIAN ESTIMATION TECHNIQUESen_US
dc.description.tableofcontentsState-Space Modelen_US
dc.description.tableofcontentsSystem Dynamicsen_US
dc.description.tableofcontentsKalman Filteren_US
dc.description.tableofcontentsGrid Based Methodsen_US
dc.description.tableofcontentsExtended Kalman Filteren_US
dc.description.tableofcontentsParticle Filteren_US
dc.description.tableofcontentsPARTICLE FILTER BASED TARGET TRACKINGen_US
dc.description.tableofcontentsDescription of Tracking Scenarioen_US
dc.description.tableofcontentsModelsen_US
dc.description.tableofcontentsSensor Schedulingen_US
dc.identifier.citationÖzfidan, Ö. (2006). Cluster based sensors scheduling in a target tracking application with particle filter method. İstanbul: Işık Üniversitesi Fen Bilimleri Enstitüsüen_US
dc.identifier.urihttps://hdl.handle.net/11729/980
dc.institutionauthorÖzfidan, Özgüren_US
dc.language.isoenen_US
dc.publisherIşık Üniversitesien_US
dc.relation.publicationcategoryTezen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subject.lccTK7885.6 .O54 2006
dc.subject.lcshComputer communication networks.en_US
dc.subject.lcshComputer science.en_US
dc.subject.lcshComputer software.en_US
dc.subject.lcshInformation systems.en_US
dc.subject.lcshSoftware engineering.en_US
dc.subject.lcshWireless sensor networks.en_US
dc.titleCluster based sensors scheduling in a target tracking application with particle filter methoden_US
dc.title.alternativeParçacık süzgeçleme ile hedef izleme uygulamasında topak tabanlı algılayıcı çizelgelemeen_US
dc.typeMaster Thesisen_US
dspace.entity.typePublication

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