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Automatic domain pruning filter for optical observations on short arcs

Automatic domain pruning filter for optical observations on short arcs
Automatic domain pruning filter for optical observations on short arcs
The uncertainty region associated with short arcs is typically large, making the initialization of orbit estimators a challenging task. In this work we propose a method to reduce the size of the uncertainty region using automatic domain pruning. The initial orbit and its confidence region are obtained by using a differential algebra-based initial orbit determination algorithm and a least squares algorithm. New measurements are used to reduce the size of the confidence region by retaining only those portions of the domain in which the likelihood is above a certain threshold.
European Space Agency
Principe, Gennaro
45ebdecc-e35e-4b7e-a77e-53e7a0c3f63c
Armellin, Roberto
281fb90d-36c1-47a9-b793-f8b5530f5b4d
Di Lizia, Pierluigi
6627ba00-226e-411b-9058-5025b4b4ce60
Lewis, Hugh
e9048cd8-c188-49cb-8e2a-45f6b316336a
Flohrer, T.
Schmitz, F.
Principe, Gennaro
45ebdecc-e35e-4b7e-a77e-53e7a0c3f63c
Armellin, Roberto
281fb90d-36c1-47a9-b793-f8b5530f5b4d
Di Lizia, Pierluigi
6627ba00-226e-411b-9058-5025b4b4ce60
Lewis, Hugh
e9048cd8-c188-49cb-8e2a-45f6b316336a
Flohrer, T.
Schmitz, F.

Principe, Gennaro, Armellin, Roberto, Di Lizia, Pierluigi and Lewis, Hugh (2017) Automatic domain pruning filter for optical observations on short arcs. Flohrer, T. and Schmitz, F. (eds.) In Proceedings of the 7th European Conference on Space Debris. vol. 7, European Space Agency..

Record type: Conference or Workshop Item (Paper)

Abstract

The uncertainty region associated with short arcs is typically large, making the initialization of orbit estimators a challenging task. In this work we propose a method to reduce the size of the uncertainty region using automatic domain pruning. The initial orbit and its confidence region are obtained by using a differential algebra-based initial orbit determination algorithm and a least squares algorithm. New measurements are used to reduce the size of the confidence region by retaining only those portions of the domain in which the likelihood is above a certain threshold.

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Published date: 2017

Identifiers

Local EPrints ID: 414302
URI: http://eprints.soton.ac.uk/id/eprint/414302
PURE UUID: a1ab09f9-8011-4e54-bf56-3aaeb03e4650
ORCID for Hugh Lewis: ORCID iD orcid.org/0000-0002-3946-8757

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Date deposited: 26 Sep 2017 16:30
Last modified: 16 Mar 2024 02:55

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Contributors

Author: Gennaro Principe
Author: Roberto Armellin
Author: Pierluigi Di Lizia
Author: Hugh Lewis ORCID iD
Editor: T. Flohrer
Editor: F. Schmitz

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