TY - DATA
T1 - Data underlying the study: Bias-Aware Tracking Window Optimization for Autonomous Navigation of Cislunar Satellite Formations
PY - 2025/11/04
AU - Erdem Turan
AU - Stefano Speretta
AU - Eberhard Gill
UR - 
DO - 10.4121/fe306948-ba2c-4820-aa98-2f8e98b2cda5.v1
KW - autonomous navigation
KW - satellite formations
KW - cislunar
KW - satellite-to-satellite tracking
KW - particle swarm optimization
KW - tracking schedule
N2 - <p>This repository provides the dataset and results for the study on <strong>optimizing satellite-to-satellite tracking schedules</strong> for cislunar Halo orbiter formations using <strong>Particle Swarm Optimization (PSO)</strong>. The data include simulation outputs, sensitivity analysis results, and comparison with conventional tracking strategies. All runs were performed in <strong>MATLAB</strong> on the <strong>DelftBlue</strong> 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. </p>
ER -