Problem
Research questions and friction points this paper is trying to address.
LEO satellites
orbital collisions
maneuver observations
public datasets
MAD-LEO: A Maneuver-Annotated Orbital Dataset for LEO Satellites with Tiered Multi-Source Evidence
🤖 AI Summary
为应对低地球轨道卫星碰撞风险，通过多源数据验证构建了MAD-LEO数据集，记录并标注了1,134次卫星机动事件。
📝 Abstract
With the rapid development of aerospace technology and the large-scale deployment of low Earth orbit (LEO) constellations, the risk of orbital collisions has increased, creating a growing demand for reliable observations of satellite maneuvers. However, public datasets containing real maneuver records remain scarce. We present MAD-LEO, a Maneuver-Annotated orbital Dataset for LEO satellites. The mission-reported subset contains 1,134 maneuver events from eleven geodetic and altimetry satellites spanning 1992 to 2026, with labels taken directly from mission-published maneuver histories. Each event is checked against two-line element (TLE) data, precise orbit products, and satellite laser ranging (SLR) observations, with evidence tiers assigned according to data availability. The operational subset pairs operator-published ephemerides for 6,785 Starlink satellites with cataloged TLE records over a continuous 107-hour period. Technical validation across seven machine-readable experiment suites confirms the cross-source consistency of the labels and the evidence products.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Maneuver-Annotated Dataset
Tiered Evidence
Cross-Source Consistency
🔎 Similar Papers
No similar papers found.
