Admissible region splitting for multi-fidelity orbit propagation

dc.contributor.advisorJones, Brandon A.
dc.creatorChiu, Alexander
dc.creator.orcid0009-0002-7616-9737
dc.date.accessioned2023-06-09T15:15:56Z
dc.date.available2023-06-09T15:15:56Z
dc.date.created2023-05
dc.date.issued2023-04-26
dc.date.submittedMay 2023
dc.date.updated2023-06-09T15:15:57Z
dc.description.abstractAdmissible regions allow for active tasking of sensors for orbit determination of newly detected objects. These regions are defined using physics-based constraint hypotheses applied to detected objects. The regions can be represented probabilistically using Gaussian mixtures and propagated forward in time, which is computationally expensive. Multi-fidelity orbit uncertainty propagation can help speed up this process, but performance degrades when applied to large initial distributions. A new method for splitting admissible regions is proposed based on k-means clustering. A sensitivity analysis is performed using the partial derivatives of orbital elements with respect to spherical coordinates. The clustering algorithm leads to enhanced multi-fidelity performance by keeping the points closer together over time. The accuracy and runtime improvements are demonstrated using simulated optical and radar test cases.
dc.description.departmentAerospace Engineering
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2152/119197
dc.identifier.urihttp://dx.doi.org/10.26153/tsw/46075
dc.language.isoen
dc.subjectAdmissible regions
dc.subjectOrbit determination
dc.subjectMulti-fidelity propagation
dc.subjectStochastic collocation
dc.subjectK-means clustering
dc.titleAdmissible region splitting for multi-fidelity orbit propagation
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentAerospace Engineering
thesis.degree.disciplineAerospace Engineering
thesis.degree.grantorThe University of Texas at Austin
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Engineering

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