Orbit Optimization for Future Satellite Gravity Field Missions: Influence of the Time Variable Gravity Field Models in a Genetic Algorithm Approach

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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  • University of Isfahan
  • University of Stuttgart
  • Delft University of Technology
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Original languageEnglish
Title of host publication9th Hotine-Marussi Symposium on Mathematical Geodesy - Proceedings of the Symposium in Rome, 2018
EditorsPavel Novák, Mattia Crespi, Nico Sneeuw, Fernando Sansò
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-9
Number of pages7
ISBN (electronic)978-3-030-54267-2
ISBN (print)9783030542665
Publication statusPublished - 2021
Event9th Hotine-Marussi Symposium on Mathematical Geodesy, 2018 - Rome, Italy
Duration: 18 Jun 201822 Jun 2018
Conference number: 9

Publication series

NameInternational Association of Geodesy Symposia
Volume151
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

Cite this

Orbit Optimization for Future Satellite Gravity Field Missions: Influence of the Time Variable Gravity Field Models in a Genetic Algorithm Approach. / Iran Pour, Siavash; Sneeuw, Nico; Weigelt, Matthias et al.
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 proceedingConference contributionResearchpeer review

Iran Pour, S, Sneeuw, N, Weigelt, M & Amiri-Simkooei, A 2021, Orbit Optimization for Future Satellite Gravity Field Missions: Influence of the Time Variable Gravity Field Models in a Genetic Algorithm Approach. in P Novák, M Crespi, N Sneeuw & F Sansò (eds), 9th Hotine-Marussi Symposium on Mathematical Geodesy - Proceedings of the Symposium in Rome, 2018. International Association of Geodesy Symposia, vol. 151, Springer Science and Business Media Deutschland GmbH, pp. 3-9, 9th Hotine-Marussi Symposium on Mathematical Geodesy, 2018, Rome, Italy, 18 Jun 2018. https://doi.org/10.1007/1345_2019_79
Iran Pour, S., Sneeuw, N., Weigelt, M., & Amiri-Simkooei, A. (2021). Orbit Optimization for Future Satellite Gravity Field Missions: Influence of the Time Variable Gravity Field Models in a Genetic Algorithm Approach. In P. Novák, M. Crespi, N. Sneeuw, & F. Sansò (Eds.), 9th Hotine-Marussi Symposium on Mathematical Geodesy - Proceedings of the Symposium in Rome, 2018 (pp. 3-9). (International Association of Geodesy Symposia; Vol. 151). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/1345_2019_79
Iran Pour S, Sneeuw N, Weigelt M, Amiri-Simkooei A. Orbit Optimization for Future Satellite Gravity Field Missions: Influence of the Time Variable Gravity Field Models in a Genetic Algorithm Approach. In Novák P, Crespi M, Sneeuw N, Sansò F, editors, 9th Hotine-Marussi Symposium on Mathematical Geodesy - Proceedings of the Symposium in Rome, 2018. Springer Science and Business Media Deutschland GmbH. 2021. p. 3-9. (International Association of Geodesy Symposia). Epub 2019 Jul 17. doi: 10.1007/1345_2019_79
Iran Pour, Siavash ; Sneeuw, Nico ; Weigelt, Matthias et al. / Orbit Optimization for Future Satellite Gravity Field Missions : Influence of the Time Variable Gravity Field Models in a Genetic Algorithm Approach. 9th Hotine-Marussi Symposium on Mathematical Geodesy - Proceedings of the Symposium in Rome, 2018. editor / Pavel Novák ; Mattia Crespi ; Nico Sneeuw ; Fernando Sansò. Springer Science and Business Media Deutschland GmbH, 2021. pp. 3-9 (International Association of Geodesy Symposia).
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