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dc.contributorSánchez Net, Marc
dc.contributorCheung, Kar-Ming
dc.contributorGrau Saldes, Antoni
dc.contributor.authorRueda Oller, Guillem
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.coverage.spatialeast=-118.1713944; north=34.2013081; name=La Cañada Flintridge, Califòrnia 91011, Estats Units d'Amèrica
dc.date.accessioned2019-10-09T11:06:53Z
dc.date.available2019-10-09T11:06:53Z
dc.date.issued2019-07-16
dc.identifier.urihttp://hdl.handle.net/2117/169524
dc.description.abstractThe Jet Propulsion Laboratory (JPL) owns and operates the Deep Space Network (DSN), a set of antennas placed around Earth to communicate with spacecraft flying anywhere in the Solar System. While the DSN is a critical asset to JPL and NASA's success, it is also expensive to build, maintain and operate. Therefore, additional system capabilities are planned strategically, years in advance, by forecasting which missions will utilize the system in the coming decades (and their driving data requirements). Then, loading analyses are conducted assuming different scenarios, each one simulating DSN operations for several years. Within this context, this thesis focuses on developing an automated long-term scheduling mechanism that can mimic real DSN operations. Several factors are modeled and accounted for in this process: Spacecraft visibility constraints, evolution of the DSN architecture, characteristics of each antenna, as well as link and other operational constraints. To implement the scheduling mechanisms, several options are first identified and downselected. Then, it is explained in detail how the automated long-term scheduling toolkit –LTST– formulates the problem as a mixed
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Aeronàutica i espai
dc.subject.lcshAeronautics
dc.subject.otherDeep Space Network
dc.subject.otherspace communications
dc.subject.otherscheduling
dc.subject.othermixed integer linear programming
dc.subject.otherloading analysis
dc.titleSpace Mission Scheduling Toolkit for Long-Term Deep Space Network Loading Analyses and Strategic Planning
dc.typeBachelor thesis
dc.subject.lemacAeronàutica
dc.identifier.slugPRISMA-144152
dc.rights.accessOpen Access
dc.date.updated2019-10-09T10:07:18Z
dc.audience.educationlevelGrau
dc.audience.mediatorUniversitat Politècnica de Catalunya. Centre de Formació Interdisciplinària Superior
dc.audience.mediatorEscola Superior d'Enginyeries Industrial, Aeroespacial i Audiovisual de Terrassa
dc.audience.mediatorFacultat d'Informàtica de Barcelona
dc.audience.degreeGRAU EN ENGINYERIA EN TECNOLOGIES AEROESPACIALS/GRAU EN ENGINYERIA INFORMÀTICA
dc.contributor.covenanteeJet Propulsion Laboratory
dc.description.mobilityOutgoing


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