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

Siavash Iran Pour*, Nico Sneeuw, Matthias Weigelt, Alireza Amiri-Simkooei

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review


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.

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
Place of PublicationCham
Number of pages7
ISBN (Electronic)978-3-030-54267-2
ISBN (Print)9783030542665
Publication statusPublished - 2019
Event9th Hotine-Marussi Symposium on Mathematical Geodesy, 2018 - Rome, Italy
Duration: 18 Jun 201822 Jun 2018

Publication series

NameInternational Association of Geodesy Symposia
ISSN (Print)0939-9585
ISSN (Electronic)2197-9359


Conference9th Hotine-Marussi Symposium on Mathematical Geodesy, 2018


  • Genetic algorithm
  • Gravity field recovery
  • Orbit optimization
  • Time-variable gravity field


Dive into the research topics of 'Orbit Optimization for Future Satellite Gravity Field Missions: Influence of the Time Variable Gravity Field Models in a Genetic Algorithm Approach'. Together they form a unique fingerprint.

Cite this