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dc.contributor.authorMehta, Piyush M
dc.contributor.authorLinares, Richard
dc.date.accessioned2022-06-24T20:46:02Z
dc.date.available2021-10-27T20:23:25Z
dc.date.available2022-06-24T20:46:02Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/135426.2
dc.description.abstractIn this paper, a new data-driven method is demonstrated for real-time neutral density estimation via model–data fusion in quasi-physical ionosphere–thermosphere models. The proposed method has two main components: 1) the use of a quasi-physical reduced-order model (ROM) to represent the dynamics of the upper atmosphere, and 2) the calibration of the ROM coefficients using satellite position measurements. The ROM is developed using dynamic mode decomposition with control. Previous work required direct density measurements (accelerometer-derived densities), and the current work extends this approach to satellite position measurements. This work is a new approach to dynamic calibration of the atmosphere. This work proposes combining the orbit determination process with the ROM coefficient calibration through the use of the square-root unscented Kalman filter (SQUKF). The proposed SQUKF allows for new potential data sources to be incorporated into the density calibration process. This is demonstrated with simulated Global Positioning System position measurements with 5 min resolution and 10 m Cartesian position error. The proposed method is demonstrated to be simple, robust, and accurate through simulation scenarios. The proposed method can provide real-time estimates of the state of the upper atmosphere while having inherent forecasting/predictive capabilities.en_US
dc.language.isoen
dc.publisherAmerican Institute of Aeronautics and Astronautics (AIAA)en_US
dc.relation.isversionof10.2514/1.G004793en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleReal-Time Thermospheric Density Estimation from Satellite Position Measurementsen_US
dc.typeArticleen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.relation.journalJournal of Guidance Control and Dynamicsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-05-05T18:51:30Z
dspace.orderedauthorsMehta, PM; Linares, Ren_US
dspace.date.submission2021-05-05T18:51:32Z
mit.journal.volume43en_US
mit.journal.issue9en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusPublication Information Neededen_US


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