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Optimal Scheduling for Geosynchronous Space Object Follow-up Observations Using a Genetic Algorithm

Hinze, Andreas and Fiedler, Hauke and Schildknecht, Thomas (2016) Optimal Scheduling for Geosynchronous Space Object Follow-up Observations Using a Genetic Algorithm. Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS 2016), Hawaii, USA.

Full text not available from this repository.

Abstract

Optical observations for space debris in the geosynchronous region have been performed for many years. During this time, observation strategies, processing techniques and cataloguing approaches were successfully developed. Nevertheless, the importance of protecting this orbit region from space debris requires continuous monitoring in order to support collision avoidance operations. So-called follow-up observations providing information for orbit improvement estimations are necessary to maintain high accuracy of the cataloged objects. Those serve a two-fold: For one, the orbits have to be accurate enough to be able to re-observe the object after a time of no observations, that is keeping it in the catalogue, secondly, the importance of protecting active space assets from space debris requires even higher accuracy of the catalogue orbits. Due to limited observation resources and because a space debris object in the geostationary orbit region may only be observed for a limited period of time per the observation night and telescope, efficient scheduling of follow-up observations is a key element. This paper presents an optimal scheduling algorithm for a robotic optical telescope network using a genetic algorithm that has been applied providing optimal solutions for catalogue maintenance. As optimization parameter the information content of the orbit has been used. It is shown that information content utilizing the orbit’s covariance and the information gain in an expected update is a useful optimization measure. Finally, simulations with simulated data of space debris objects are used to study the effectivity of the scheduling algorithm.

Item URL in elib:https://elib.dlr.de/109772/
Document Type:Conference or Workshop Item (Speech)
Title:Optimal Scheduling for Geosynchronous Space Object Follow-up Observations Using a Genetic Algorithm
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hinze, AndreasAndreas.Hinze (at) dlr.deUNSPECIFIED
Fiedler, HaukeHauke.Fiedler (at) dlr.deUNSPECIFIED
Schildknecht, Thomasthomas.schildknecht (at) aiub.unibe.chUNSPECIFIED
Date:2016
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:sensor tasking, space debris
Event Title:Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS 2016)
Event Location:Hawaii, USA
Event Type:international Conference
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Aufbau und Aktualisierung eines DLR-Katalogs für Raumfahrtrückstande (Space Debris)
Location: Oberpfaffenhofen
Institutes and Institutions:Space Operations and Astronaut Training > Space Flight Technology
Deposited By: Fiedler, Dr. Hauke
Deposited On:19 Dec 2016 10:50
Last Modified:19 Dec 2016 10:50

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