Details
Original language | English |
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Title of host publication | 9th Hotine-Marussi Symposium on Mathematical Geodesy - Proceedings of the Symposium in Rome, 2018 |
Editors | Pavel Novák, Mattia Crespi, Nico Sneeuw, Fernando Sansò |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 3-9 |
Number of pages | 7 |
ISBN (electronic) | 978-3-030-54267-2 |
ISBN (print) | 9783030542665 |
Publication status | Published - 2021 |
Event | 9th Hotine-Marussi Symposium on Mathematical Geodesy, 2018 - Rome, Italy Duration: 18 Jun 2018 → 22 Jun 2018 Conference number: 9 |
Publication series
Name | International Association of Geodesy Symposia |
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Volume | 151 |
ISSN (Print) | 0939-9585 |
ISSN (electronic) | 2197-9359 |
Abstract
Many studies in the past have discussed potential orbit configurations of future satellite gravity missions. Most of those works have targeted orbit optimization of the satellite missions of the next generation in the so-called Bender formation. The studies have investigated the impact of the Keplerian orbital parameters, especially the influence of the repeat orbits and mission altitude of both satellite pairs and the inclination of the second pair in Bender formation on the satellite configurations’ gravity field recovery quality performance. Obviously, the search space for the orbit optimization in the Bender formation is vast and, therefore, different approaches have been suggested for optimal orbit design. Among approaches, however, different assumptions about input geophysical models as well as the error models into the simulation software play a role. Our paper shows how different assumptions for input models change the orbit optimization results. For this purpose, the genetic algorithm has been utilized for orbit optimization of the Bender formation where different input models were considered. Those input models include (1) the updated ESA geophysical models, and (2) error models for the Ocean Tide (OT error) and Atmosphere-Ocean (AO error). Here, we focus on the impact of the models on relative difference of the longitude of ascending nodes between the two pairs in Bender formation. The results of the paper clearly state that our current and future knowledge about signal and error models can significantly affect the orbit optimization problem.
Keywords
- Genetic algorithm, Gravity field recovery, Orbit optimization, Time-variable gravity field
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Computers in Earth Sciences
- Earth and Planetary Sciences(all)
- Geophysics
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9th Hotine-Marussi Symposium on Mathematical Geodesy - Proceedings of the Symposium in Rome, 2018. ed. / Pavel Novák; Mattia Crespi; Nico Sneeuw; Fernando Sansò. Springer Science and Business Media Deutschland GmbH, 2021. p. 3-9 (International Association of Geodesy Symposia; Vol. 151).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Orbit Optimization for Future Satellite Gravity Field Missions
T2 - 9th Hotine-Marussi Symposium on Mathematical Geodesy, 2018
AU - Iran Pour, Siavash
AU - Sneeuw, Nico
AU - Weigelt, Matthias
AU - Amiri-Simkooei, Alireza
N1 - Conference code: 9
PY - 2021
Y1 - 2021
N2 - Many studies in the past have discussed potential orbit configurations of future satellite gravity missions. Most of those works have targeted orbit optimization of the satellite missions of the next generation in the so-called Bender formation. The studies have investigated the impact of the Keplerian orbital parameters, especially the influence of the repeat orbits and mission altitude of both satellite pairs and the inclination of the second pair in Bender formation on the satellite configurations’ gravity field recovery quality performance. Obviously, the search space for the orbit optimization in the Bender formation is vast and, therefore, different approaches have been suggested for optimal orbit design. Among approaches, however, different assumptions about input geophysical models as well as the error models into the simulation software play a role. Our paper shows how different assumptions for input models change the orbit optimization results. For this purpose, the genetic algorithm has been utilized for orbit optimization of the Bender formation where different input models were considered. Those input models include (1) the updated ESA geophysical models, and (2) error models for the Ocean Tide (OT error) and Atmosphere-Ocean (AO error). Here, we focus on the impact of the models on relative difference of the longitude of ascending nodes between the two pairs in Bender formation. The results of the paper clearly state that our current and future knowledge about signal and error models can significantly affect the orbit optimization problem.
AB - Many studies in the past have discussed potential orbit configurations of future satellite gravity missions. Most of those works have targeted orbit optimization of the satellite missions of the next generation in the so-called Bender formation. The studies have investigated the impact of the Keplerian orbital parameters, especially the influence of the repeat orbits and mission altitude of both satellite pairs and the inclination of the second pair in Bender formation on the satellite configurations’ gravity field recovery quality performance. Obviously, the search space for the orbit optimization in the Bender formation is vast and, therefore, different approaches have been suggested for optimal orbit design. Among approaches, however, different assumptions about input geophysical models as well as the error models into the simulation software play a role. Our paper shows how different assumptions for input models change the orbit optimization results. For this purpose, the genetic algorithm has been utilized for orbit optimization of the Bender formation where different input models were considered. Those input models include (1) the updated ESA geophysical models, and (2) error models for the Ocean Tide (OT error) and Atmosphere-Ocean (AO error). Here, we focus on the impact of the models on relative difference of the longitude of ascending nodes between the two pairs in Bender formation. The results of the paper clearly state that our current and future knowledge about signal and error models can significantly affect the orbit optimization problem.
KW - Genetic algorithm
KW - Gravity field recovery
KW - Orbit optimization
KW - Time-variable gravity field
UR - http://www.scopus.com/inward/record.url?scp=85092153861&partnerID=8YFLogxK
U2 - 10.1007/1345_2019_79
DO - 10.1007/1345_2019_79
M3 - Conference contribution
AN - SCOPUS:85092153861
SN - 9783030542665
T3 - International Association of Geodesy Symposia
SP - 3
EP - 9
BT - 9th Hotine-Marussi Symposium on Mathematical Geodesy - Proceedings of the Symposium in Rome, 2018
A2 - Novák, Pavel
A2 - Crespi, Mattia
A2 - Sneeuw, Nico
A2 - Sansò, Fernando
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 18 June 2018 through 22 June 2018
ER -