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dc.contributor.advisorRhodes, Donna H.
dc.contributor.authorRude, Connor D.
dc.date.accessioned2025-08-21T17:00:34Z
dc.date.available2025-08-21T17:00:34Z
dc.date.issued2025-05
dc.date.submitted2025-06-16T14:46:56.135Z
dc.identifier.urihttps://hdl.handle.net/1721.1/162417
dc.description.abstractAchieving Space Situational Awareness (SSA) in the Cislunar region—the area between the geosynchronous belt and the Moon's gravitational boundary—poses significant technological and organizational challenges. Instead of proposing new theoretical systems, this thesis employs the Architecting Innovative Enterprise Strategy (ARIES) Framework to evaluate existing SSA architectures and previously suggested solutions. ARIES provides a structured assessment through its elements (strategy, information, infrastructure, products, services, processes, organizations, and knowledge), identifying infrastructure, acquisition strategies, policy-driven timelines, and communication structures as key areas for improvement. Stakeholder objectives, current initiatives, and operational needs guide the characterization of an ideal SSA architecture. Four prior system proposals for cislunar SSA are assessed using qualitative analysis of existing literature and first-order physics-based simulations. These evaluations correlate specific design features with enhanced system suitability. Particularly beneficial are constellation proximity to targets, strategic constellation placement and phasing, sensor orbital diversity, and orbital stability. Additionally, certain design strategies consistently yield higher suitability, including focusing on underserved SSA regions, leveraging heritage technology, and optimizing designs for ride-share launch compatibility.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleCharacterizing Effective System Architectures for Cislunar Space Situational Awareness
dc.typeThesis
dc.description.degreeS.M.
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Society
mit.thesis.degreeMaster
thesis.degree.nameMaster of Science in Technology and Policy


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