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 DA-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.

Automatic Domain Pruning Filter for Optical Observations on Short ARCS

ARMELLIN, ROBERTO;DI LIZIA, PIERLUIGI;
2017

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 DA-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.
7th European Conference on Space Debris, ESA/ESOC
initial orbit determinaion; differential algebra; uncertainty region
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1021866
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