Kent, JT orcid.org/0000-0002-1861-8349, Bhattacharjee, S orcid.org/0000-0002-0862-9108, Hussein, I et al. (1 more author) (2017) Geometric restructurization of the space object tracking problem for improved uncertainty representation. In: Flohrer, T and Schmitz, F, (eds.) Proceedings. 7th European Conference on Space Debris, 18-21 Apr 2017, Darmstadt, Germany. ESA Space Debris Office
Abstract
The problem of space debris tracking can be viewed as an example of Bayesian filtering. Examples of such filters include the classic Kalman filter, together with nonlinear variants such as the extended and unscented Kalman filters, and the computationally more expensive particle filters. The purpose of this paper is to show with a careful choice of coordinate system, the uncertainty in the space debris tracking problem can often be formulated in terms of a multivariate normal distribution, and hence filtering can be carried out using the Kalman Filter or one of its variant.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Keywords: | Bayesian filtering; Uncertainty propagation |
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: | 07 Nov 2017 10:40 |
Last Modified: | 07 Nov 2017 10:40 |
Published Version: | https://conference.sdo.esoc.esa.int/proceedings/sd... |
Status: | Published |
Publisher: | ESA Space Debris Office |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:123195 |