国产在线平台预测卫星碰撞概率，提升太空安全监测能力
Orbital Collision: An Indigenously Developed Web-based Space Situational Awareness Platform
- 基于TLE数据和轨道不确定性传播算法计算碰撞概率
- 在拥挤轨道环境下实现高精度碰撞预警，保障卫星安全
- 适合航天机构、科研人员用于太空态势感知与风险评估
本文介绍由德里印度信息技术研究所（IIIT Delhi）空间系统实验室自主研发的网络平台Orbital Collision（OrCo），旨在通过两行元素（TLE）数据提升太空态势感知（SSA）能力，预测空间物体间的碰撞概率。随着地球轨道环境日益拥挤，空间碎片和失效卫星增多，碰撞风险显著上升。该平台采用多种轨道不确定性传播方法及碰撞概率计算策略，通过准确性和效率指标评估性能，有效增强对空间目标的跟踪能力，保障卫星在复杂轨道环境中的运行安全。
原文摘要 · Abstract (English)
This work presents an indigenous web based platform Orbital Collision (OrCo), created by the Space Systems Laboratory at IIIT Delhi, to enhance Space Situational Awareness (SSA) by predicting collision probabilities of space objects using Two Line Elements (TLE) data. The work highlights the growing challenges of congestion in the Earth's orbital environment, mainly due to space debris and defunct satellites, which increase collision risks. It employs several methods for propagating orbital uncertainty and calculating the collision probability. The performance of the platform is evaluated through accuracy assessments and efficiency metrics, in order to improve the tracking of space objects and ensure the safety of the satellite in congested space.
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