University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Probabilistic data association based on intersection of Orbit Sets

Pirovano, Laura, Santeramo, Daniele Antonio, Armellin, Roberto, di Lizia, Pierluigi and Wittig, Alexander (2018) Probabilistic data association based on intersection of Orbit Sets In: 19th AMOS Conference, September 11-14, 2018, Maui, USA, 11-14 Sep 2018, Maui, Hawaii, USA.

Probabilistic data association based on intersection of Orbit Sets.pdf - Accepted version Manuscript

Download (7MB) | Preview


Untraced space debris are the principal threat to the functioning of operational satellites whose services have become a fundamental part of our daily life. Small debris between 1 and 10 cm are currently too small to be cataloged and are only detectable for a limited amount of time when surveying the sky. The very-short arc nature of the observations makes it very difficult to perform precise orbit determination with only one passage of the object over the observing station. For this reason the problem of data association becomes relevant: one has to find more observations of the same resident space object to precisely determine its orbit. This paper is going to illustrate a novel approach that exploits Differential Algebra to handle the data association problem in a completely analytical way. The paper presents an algorithm that uses the Subset Simulation to find correlated observations starting from the solution to the Initial Orbit Determination problem. Due to the different capabilities of the observatories, several observing strategies are currently being used. The algorithm is thus tested for different strategies against a well known approach from literature. Then, the performance of the data association method is tested on some real observations obtained in two consecutive nights. Finally, preliminary results for data association without Initial Orbit Determination are shown

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Santeramo, Daniele Antonio
di Lizia, Pierluigi
Wittig, Alexander
Date : 11 September 2018
Copyright Disclaimer : © 2018 The Authors.
Related URLs :
Additional Information : Printed proceedings published by Curran Associates, Inc.
Depositing User : Clive Harris
Date Deposited : 23 Aug 2018 22:30
Last Modified : 24 Sep 2018 07:32

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800