Hyperspectral lightcurve inversion for attitude determination
Marto, Simão da Graça and Vasile, Massimiliano and Campbell, Andrew and Murray, Paul and Marshall, Stephen and Savitski, Vasili (2023) Hyperspectral lightcurve inversion for attitude determination. Other. arXiv, Ithaca, NY. (https://doi.org/10.48550/arXiv.2401.05397)
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Abstract
Spectral lightcurves consisting of time series single-pixel spectral measurements of spacecraft are used to infer the spacecraft's attitude and rotation. Two methods are used. One based on numerical optimisation of a regularised least squares cost function, and another based on machine learning with a neural network model. The aim is to work with minimal information, thus no prior is available on the attitude nor on the inertia tensor. The theoretical and practical aspects of this task are investigated, and the methodology is tested on synthetic data. Results are shown based on synthetic data.
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Marto, Simão da Graça, Vasile, Massimiliano![ORCID logo](/images/orcid_16x16.png)
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Item type: Monograph(Other) ID code: 90412 Dates: DateEvent19 December 2023PublishedSubjects: Technology > Motor vehicles. Aeronautics. Astronautics > Astronautics. Space travel Department: Faculty of Engineering > Mechanical and Aerospace Engineering
Technology and Innovation Centre > Advanced Engineering and Manufacturing
Strategic Research Themes > Ocean, Air and Space
Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > Measurement Science and Enabling Technologies
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 29 Aug 2024 14:23 Last modified: 30 Aug 2024 01:17 URI: https://strathprints.strath.ac.uk/id/eprint/90412