The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/fe306948-ba2c-4820-aa98-2f8e98b2cda5

Turan, Erdem; Speretta, Stefano; Gill, Eberhard (2025): Data underlying the study: Bias-Aware Tracking Window Optimization for Autonomous Navigation of Cislunar Satellite Formations. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/fe306948-ba2c-4820-aa98-2f8e98b2cda5.v1

Categories

• Aerospace Engineering
• Engineering

Keywords

autonomous navigation cislunar particle swarm optimization satellite formations satellite-to-satellite tracking tracking schedule

Licence

CC BY 4.0

Interoperability

• RO-Crate Metadata

Export as...

RefWorks BibTeX Reference Manager Endnote DataCite NLM DC CFF

by Erdem Turan , Stefano Speretta , Eberhard Gill

This repository provides the dataset and results for the study on optimizing satellite-to-satellite tracking schedules for cislunar Halo orbiter formations using Particle Swarm Optimization (PSO). The data include simulation outputs, sensitivity analysis results, and comparison with conventional tracking strategies. All runs were performed in MATLAB on the DelftBlue supercomputer. Files contain tracking window schedules, orbit determination errors, uncertainties, and station-keeping costs, along with HPC logs summarizing each Monte Carlo run. Please refer to the included README file for a detailed description of the folder structure and data contents.

History

• 2025-11-04 first online, published, posted

Publisher

4TU.ResearchData

Format

README/pdf; MATLAB;mat; figure/fig,eps,pdf; output/out; text/rtf

Organizations

TU Delft, Faculty of Aerospace Engineering, Department of Space Engineering, Space Systems Engineering