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.

本仓库提供了针对**使用粒子群优化（Particle Swarm Optimization，PSO）优化地月Halo轨道器编队星间跟踪调度**的研究相关数据集与实验结果。数据集包含仿真输出、敏感性分析结果，以及与传统跟踪策略的对比数据。所有实验均在**DelftBlue**超级计算机上通过**MATLAB**完成。文件涵盖跟踪窗口调度、定轨误差、不确定性与轨道维持成本，同时包含汇总每次蒙特卡洛运行的高性能计算（High Performance Computing，HPC）日志。如需了解文件夹结构与数据内容的详细说明，请参阅附带的README文件。