Treatment of epistemic uncertainty in conjunction analysis with Dempster-Shafer theory
Sánchez, Luis and Vasile, Massimiliano and Sanvido, Silvia and Merz, Klaus and Taillan, Christophe (2024) Treatment of epistemic uncertainty in conjunction analysis with Dempster-Shafer theory. Advances in Space Research, 74 (11). pp. 5639-5686. ISSN 0273-1177 (https://doi.org/10.1016/j.asr.2024.09.014)
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Abstract
The paper presents an approach to the modelling of epistemic uncertainty in Conjunction Data Messages (CDM) and the classification of conjunction events according to the confidence in the probability of collision. The approach proposed in this paper is based on Dempster-Shafer Theory (DSt) of evidence and starts from the assumption that the observed CDMs are drawn from a family of unknown distributions. The Dvoretzky–Kiefer–Wolfowitz (DKW) inequality is used to construct robust bounds on such a family of unknown distributions starting from a time series of CDMs. A DSt structure is then derived from the probability boxes constructed with DKW inequality. The DSt structure encapsulates the uncertainty in the CDMs at every point along the time series and allows the computation of the belief and plausibility in the realisation of a given probability of collision. The methodology proposed in this paper is tested on a number of real events and compared against existing practices in the European and French Space Agencies. We will show that the classification system proposed in this paper is more conservative than the approach taken by the European Space Agency but provides an added quantification of uncertainty in the probability of collision.
ORCID iDs
Sánchez, Luis, Vasile, Massimiliano ORCID: https://orcid.org/0000-0001-8302-6465, Sanvido, Silvia, Merz, Klaus and Taillan, Christophe;-
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Item type: Article ID code: 90580 Dates: DateEvent1 December 2024Published12 September 2024Published Online9 September 2024Accepted13 February 2024SubmittedSubjects: Technology > Motor vehicles. Aeronautics. Astronautics > Aeronautics. Aeronautical engineering Department: Faculty of Engineering > Mechanical and Aerospace Engineering
Strategic Research Themes > Ocean, Air and Space
Technology and Innovation Centre > Advanced Engineering and ManufacturingDepositing user: Pure Administrator Date deposited: 16 Sep 2024 15:30 Last modified: 16 Dec 2024 14:26 URI: https://strathprints.strath.ac.uk/id/eprint/90580