Orbit and attitude state estimation accuracy of an autonomous satellite navigation system

dc.contributor.advisorSchutz, Bob E.
dc.creatorPowell, George Edward, 1963-
dc.date.accessioned2021-11-14T00:20:36Z
dc.date.available2021-11-14T00:20:36Z
dc.date.issued1987
dc.description.abstractMonte Carlo analysis is employed to evaluate the ability of an autonomous satellite navigation system to determine its orbital and attitude states. Estimation of the orbit and attitude states are treated in a coupled fashion. The navigational system considered consists of a sun sensor, a landmark sensor, and a three-axis rate gyro package. The observation data are processed in a batch-sequential filter which decomposes into an extended Kalman filter as the duration of the batch interval becomes less than the time between two consecutive observations. To avoid singularities in the propagation of the attitude states, quaternions were used to represent the rotation from the body-fixed axes to the inertial coordinate system. However, the attitude was estimated in terms of Euler angles to avoid a singular covariance matrix. Test cases indicate that the estimates of the position in the transverse direction contain the greatest uncertaintyen_US
dc.description.departmentAerospace Engineeringen_US
dc.format.mediumelectronicen_US
dc.identifier.urihttps://hdl.handle.net/2152/90259
dc.identifier.urihttp://dx.doi.org/10.26153/tsw/17180
dc.language.isoengen_US
dc.relation.ispartofUT Electronic Theses and Dissertationsen_US
dc.rightsCopyright © is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.en_US
dc.rights.restrictionOpenen_US
dc.subject.lcshArtificial satellites--Control systems
dc.titleOrbit and attitude state estimation accuracy of an autonomous satellite navigation systemen_US
dc.typeThesisen_US
dc.type.genreThesisen_US
thesis.degree.departmentAerospace Engineeringen_US
thesis.degree.disciplineAerospace Engineeringen_US
thesis.degree.grantorUniversity of Texas at Austinen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Science in Engineeringen_US
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