Astrophysics > Instrumentation and Methods for Astrophysics
[Submitted on 29 Jun 2025
]
Title: Time Invariant Sensor Tasking for Catalog Maintenance of LEO Space objects using Stochastic Geometry
Title: 用于使用随机几何的LEO空间物体目录维护的时不变传感器任务安排
Abstract: Catalog maintenance of space objects by limited number of ground-based sensors presents a formidable challenging task to the space community. This article presents a methodology for time-invariant tracking and surveillance of space objects in low Earth orbit (LEO) by optimally directing ground sensors. Our methodology aims to maximize the expected number of space objects from a set of ground stations by utilizing concepts from stochastic geometry, particularly the Poisson point process. We have provided a systematic framework to understand visibility patterns and enhance the efficiency of tracking multiple objects simultaneously. Our approach contributes to more informed decision-making in space operations, ultimately supporting efforts to maintain safety and sustainability in LEO.
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