太空碎片环境治理
Space Debris Environment Governance
探索太空碎片环境的可持续治理策略，包括主动碎片清除技术评估、空间交通管理框架设计及国际空间环境治理政策研究。
研究方法与技术路线Methodology & Technical Approach
数据获取与处理
Data Acquisition & Processing
从公开空间目标目录（如 Space-Track）获取 TLE 轨道数据，经 SGP4 传播器处理，提取接近事件特征。
Acquiring TLE orbital data from public space object catalogs (e.g., Space-Track), processing via SGP4 propagator, and extracting conjunction event features.
特征工程与建模
Feature Engineering & Modeling
构建高维碰撞特征空间，应用时空注意力网络（STAN）捕捉轨道状态序列中的关键模式，实现碰撞概率的精准预测。
Constructing high-dimensional collision feature spaces, applying Spatio-Temporal Attention Networks (STAN) to capture key patterns in orbital state sequences for precise collision probability prediction.
决策与验证
Decision & Validation
基于多级避碰决策框架，输出最优规避策略。通过高保真仿真和历史事件回溯测试，验证模型的有效性和鲁棒性。
Outputting optimal avoidance strategies based on a multi-stage collision avoidance decision framework. Validating model effectiveness and robustness through high-fidelity simulation and historical event back-testing.
关键成果Key Results
已发表论文
Published Papers
进行中论文
Papers in Progress
实验进度
Experiment Progress
研究阶段
Research Phase
Related Publications相关论文 (1)
Low-orbit Space Debris Warning and Autonomous Collision Avoidance for Space Environment Governance
Liwen Yang, Jikai Wang, Jun Jiang, Xue Bai, Ming Xu
Addressing the need for LEO space debris environment governance, this work proposes debris warning and autonomous collision avoidance methods, providing technical support for sustainable space environment utilization.
针对低轨空间碎片环境治理需求，提出碎片预警与自主碰撞规避方法，为空间环境可持续利用提供技术支撑。
@inproceedings{yang2025low,
title={Low-orbit Space Debris Warning and Autonomous Collision Avoidance for Space Environment Governance},
author={Yang, Liwen and Wang, Jikai and Jiang, Jun and Bai, Xue and Xu, Ming},
booktitle={Journal of Physics: Conference Series},
volume={3015},
number={1},
pages={012005},
year={2025},
organization={IOP Publishing}
}