Purpose

The visible time window (VTW) calculation of satellites to ground targets is significant for Earth observation satellites' operation management and control. With the improvement of satellite maneuvering capability and the complexity of on-orbit observation tasks, the traditional VTW calculation methods can no longer meet the demands of satellite operation management and control due to a large amount of calculation and low efficiency. The purpose of this study is to propose a fast VTW calculation method based on map segmentation named map segmentation method (MSM), to improve the calculation efficiency, and further solve this problem.

Design/methodology/approach

The main feature of the MSM method is to segment the map and subsatellite trajectories and traverse the subsatellite points within a specific range around the target, significantly reducing the search space and the amount of computation and improving computational efficiency.

Findings

Numerical simulations for two satellite orbits are implemented to verify the feasibility of the proposed VTW calculation method, and the traditional traversal method (TM) is also performed for comparative analysis. The results show that the proposed method can obtain the same VTW, using less calculation time than the TM. The computational efficiency is significantly improved, especially for many tasks. The calculation time of observing 500 targets is saved by more than 70%, indicating a broad application prospect.

Originality/value

This paper proposes an original VTW calculation method based on map segmentation to improve the calculation efficiency. The simulation scenarios are designed to verify the accuracy and effectiveness of the proposed method, and the observation targets are randomly distributed on the map. For comparative analysis, the TM is also performed under the same simulation conditions.

中文翻译：

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基于地图分割的可见时间窗计算用于任务规划

目的

卫星与地面目标的可见时间窗（VTW）计算对于对地观测卫星的运行管理和控制具有重要意义。随着卫星机动能力的提高和在轨观测任务的复杂化，传统的VTW计算方法由于计算量大、效率低，已不能满足卫星运行管控的需求。本研究的目的是提出一种基于地图分割的快速VTW计算方法，即地图分割方法（MSM），以提高计算效率，进一步解决这一问题。

设计/方法论/途径

MSM方法的主要特点是将地图和星下轨迹进行分割，遍历目标周围特定范围内的星下点，显着减少搜索空间和计算量，提高计算效率。

发现

对两颗卫星轨道进行数值模拟，验证了所提出的VTW计算方法的可行性，并与传统的遍历法（TM）进行了对比分析。结果表明，与TM相比，该方法可以使用更少的计算时间获得相同的VTW。计算效率显着提高，尤其是对于许多任务。观测500个目标的计算时间节省70%以上，应用前景广阔。

原创性/价值

本文提出了一种基于地图分割的原创VTW计算方法，以提高计算效率。设计模拟场景来验证所提方法的准确性和有效性，观测目标随机分布在地图上。为了进行比较分析，TM也在相同的模拟条件下进行。