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Hybrid SGP4 propagator based on machine-learning techniques applied to GALILEO-type orbits

Hybrid SGP4 propagator based on machine-learning techniques applied to GALILEO-type orbits
Hybrid SGP4 propagator based on machine-learning techniques applied to GALILEO-type orbits

Resumen

Space Situational Awareness current needs demand innovative solutions to the orbit propagation problem, so as to find new algorithms which are simultaneously accurate and fast. The hybrid methodology for orbit propagation constitutes a recent approach based on modeling the error of any orbit propagator with the aim of complementing its calculations and hence enhancing its precision. Diverse sources of inaccuracy can exist in propagators, such as incomplete perturbation models, forces not considered, low-order of the series expansions, etc. The creation of a time series with the differences between ephemerides computed with low-accuracy propagators and their corresponding real observations (or precisely computed ephemerides) allows applying time-series forecasting techniques so as to create a model that includes any dynamics not contained in the original propagator. Then, the adjusted model can be used in order to correct other future predictions. We present an application of the hybrid methodology, in which the time-series forecasting process is performed by means of machine-learning techniques, to the well-known SGP4 propagator. We have adjusted the resulting Hybrid SGP4 propagator, HSGP4, to the case of Galileo-type orbits. We will show how the use of HSGP4 can reduce the position error of SGP4, hence extending the validity of Two-Line Elements (TLE) from Galileo satellites.

0074-1795
International Astronautical Federation, IAF
San-Juan, Juan F.
a235a476-17c7-4501-a893-9f884262e464
Perez, Ivan
7a625bcb-123e-42cc-b7cf-c9c1128b5ecd
Vergara, Eliseo
eff9c7c3-dadd-4d20-8c1a-077f80ae0092
Martín, Montserrat San
f7af94f3-ba76-4a4d-9afa-bf3adeb3eea2
LÃpez, Rosario
569f0105-6b0f-4f60-8cbc-cbcf84af4d05
Wittig, Alexander
3a140128-b118-4b8c-9856-a0d4f390b201
Izzog, Dario
3d2b9ff7-3629-43ba-9025-239fe9f7a02a
San-Juan, Juan F.
a235a476-17c7-4501-a893-9f884262e464
Perez, Ivan
7a625bcb-123e-42cc-b7cf-c9c1128b5ecd
Vergara, Eliseo
eff9c7c3-dadd-4d20-8c1a-077f80ae0092
Martín, Montserrat San
f7af94f3-ba76-4a4d-9afa-bf3adeb3eea2
LÃpez, Rosario
569f0105-6b0f-4f60-8cbc-cbcf84af4d05
Wittig, Alexander
3a140128-b118-4b8c-9856-a0d4f390b201
Izzog, Dario
3d2b9ff7-3629-43ba-9025-239fe9f7a02a

San-Juan, Juan F., Perez, Ivan, Vergara, Eliseo, Martín, Montserrat San, LÃpez, Rosario, Wittig, Alexander and Izzog, Dario (2018) Hybrid SGP4 propagator based on machine-learning techniques applied to GALILEO-type orbits. In Proceedings of the International Astronautical Congress, IAC. International Astronautical Federation, IAF..

Record type: Conference or Workshop Item (Paper)

Abstract

Resumen

Space Situational Awareness current needs demand innovative solutions to the orbit propagation problem, so as to find new algorithms which are simultaneously accurate and fast. The hybrid methodology for orbit propagation constitutes a recent approach based on modeling the error of any orbit propagator with the aim of complementing its calculations and hence enhancing its precision. Diverse sources of inaccuracy can exist in propagators, such as incomplete perturbation models, forces not considered, low-order of the series expansions, etc. The creation of a time series with the differences between ephemerides computed with low-accuracy propagators and their corresponding real observations (or precisely computed ephemerides) allows applying time-series forecasting techniques so as to create a model that includes any dynamics not contained in the original propagator. Then, the adjusted model can be used in order to correct other future predictions. We present an application of the hybrid methodology, in which the time-series forecasting process is performed by means of machine-learning techniques, to the well-known SGP4 propagator. We have adjusted the resulting Hybrid SGP4 propagator, HSGP4, to the case of Galileo-type orbits. We will show how the use of HSGP4 can reduce the position error of SGP4, hence extending the validity of Two-Line Elements (TLE) from Galileo satellites.

Full text not available from this repository.

More information

Published date: 1 January 2018
Venue - Dates: 69th International Astronautical Congress: #InvolvingEveryone, IAC 2018, Germany, 2018-10-01 - 2018-10-05

Identifiers

Local EPrints ID: 433791
URI: http://eprints.soton.ac.uk/id/eprint/433791
ISSN: 0074-1795
PURE UUID: 78b72b2a-50da-4d53-861b-8c70640f43e9
ORCID for Alexander Wittig: ORCID iD orcid.org/0000-0002-4594-0368

Catalogue record

Date deposited: 04 Sep 2019 16:30
Last modified: 07 Oct 2020 02:16

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Contributors

Author: Juan F. San-Juan
Author: Ivan Perez
Author: Eliseo Vergara
Author: Montserrat San Martín
Author: Rosario LÃpez
Author: Alexander Wittig ORCID iD
Author: Dario Izzog

University divisions

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