Multisensor Tasking Using Analytical Rényi Divergence in Labeled Multi-Bernoulli Filtering

No AccessEngineering NotesMultisensor Tasking Using Analytical Rényi Divergence in Labeled Multi-Bernoulli FilteringHan Cai, Steve Gehly, Yang Yang, Reza Hoseinnezhad, Robert Norman and Kefei ZhangHan CaiRMIT University, Melbourne, Victoria 3001, Australia, Steve GehlyUNSW Canberra, Canberra, Australian Capital Territory 2600, Australia, Yang YangRMIT University, Melbourne, Victoria 3001, Australia, Reza HoseinnezhadRMIT University, Melbourne, Victoria 3001, Australia, Robert NormanRMIT University, Melbourne, Victoria 3001, Australia and Kefei ZhangRMIT University, Melbourne, Victoria 3001, AustraliaPublished Online:26 Apr 2019https://doi.org/10.2514/1.G004232SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About References [1] Gehly S., Jones B. and Axelrad P., "Sensor Allocation for Tracking Geosynchronous Space Objects," Journal of Guidance, Control, and Dynamics, Vol. 41, No. 1, 2018, pp. 149–163. doi:https://doi.org/10.2514/1.G000421 JGCODS 0731-5090 LinkGoogle Scholar[2] Nastasi K. 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TopicsAerospace IndustryAerospace ManufacturersAerospace SciencesAlgorithms and Data StructuresArtificial IntelligenceAstrodynamicsAstronauticsComputer GraphicsComputer Programming and LanguageComputing and InformaticsComputing, Information, and CommunicationData AnalysisData AnalyticsData ScienceImage ProcessingMachine LearningOrbital PropertySociety and Aerospace TechnologySpace Orbit KeywordsOrbital PeriodSpace Situational AwarenessData FusionGaussian Mixture ModelsProbability Density FunctionsEarthKullback Leibler DivergenceCovariance IntersectionNumerical IntegrationGround StationAcknowledgmentsThe authors would like to acknowledge the support of the China Scholarship Council and the Cooperative Research Centre for Space Environment Management (SERC Limited) through the Australian Government's Cooperative Research Centre Programme.PDF Received22 November 2018Accepted23 March 2019Published online26 April 2019