Kent, JT orcid.org/0000-0002-1861-8349, Bhattacharjee, S orcid.org/0000-0002-0862-9108, Hussein, II et al. (1 more author) (2018) Nonlinear Filtering Using Directional Statistics for the Orbital Tracking Problem with Perturbation Effects. In: Proceedings of 2018 Space Flight Mechanics Meeting. 2018 Space Flight Mechanics Meeting, 08-12 Jan 2018, Kissimmee, Florida, USA. American Institute of Aeronautics and Astronautics ISBN 978-1-62410-533-3
Abstract
In this paper we consider the space object tracking problem to predict the state of an orbiting object from a sequence of angles-only measurements. Using ideas from directional statistics, an “Adapted STructural (AST)” coordinate system has been developed to represent the state vector, and in this coordinate system, the solution to the tracking problem effectively
reduces to the standard Kalman filter. In this paper we investigate the filter in more detail, both to consider a wider variety of orbital regimes and to incorporate perturbation effects
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds) |
Funding Information: | Funder Grant number Air Force Research Lab Munitions Directorate FA9550-16-1-0099 |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Jul 2020 11:30 |
Last Modified: | 30 Jul 2020 10:57 |
Status: | Published |
Publisher: | American Institute of Aeronautics and Astronautics |
Identification Number: | 10.2514/6.2018-0474 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:163727 |