Data underlying the study: Bias-Aware Tracking Window Optimization for Autonomous Navigation of Cislunar Satellite Formations

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.