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Mission Planning for the TIM Nanosatellite Remote Sensing Constellation

机译:Tim NanoSatellite遥感星座的任务规划

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This paper describes the mission planning approach and system for the Telematics International Mission (TIM) nanosatellite remote sensing constellation. TIM is an international effort to build a constellation of cooperating nanosatellites for Earth Observation. Germany contributes to TIM with the Telematics Earth Observation Mission (TOM). To better explore TIM's synergies and optimize the use of resources, a centralized collaborative planning & scheduling system is introduced. The centralized planner receives observation requests, and generates a coherent schedule for observations and ground-station contacts for the entire constellation. This schedule considers individual satellite constraints, tries to maximize overall data collection and prioritizes acquisition and downlink of data from user-defined Areas Of Interest (AOIs). The proposed planning system extends the Advanced Planning and Scheduling Initiative (APSI) timeline-based framework, and the planning algorithms developed for the NetSat formation-flying mission, with a suite of optimization algorithms to solve the multi-satellite multi-ground-station scheduling problems. This papers starts by introducing the TIM and TOM missions and their planning domains. It then describes the proposed planning system and underlying algorithms. The proposed solution is finally evaluated against a set of mission scenarios. In the scenarios addressed in this paper the constellation is tasked to monitor global volcanic activity with the ultimate goal to track and retrieve ash cloud heights using photogrammetric methods.
机译:本文介绍了远程信息处理国际使命(TIM)纳米卫星遥感星座的特派团规划方法和系统。蒂姆是建立地球观测协作纳米替卫星的星座的国际努力。德国有助于与远程信息处理地球观测使命(Tom)有助于蒂姆。为了更好地探索蒂姆的协同作用并优化资源的使用,介绍了一种集中的协作规划和调度系统。集中式规划员接收观察请求,并为整个星座的观察和地站接触产生相干的时间表。此计划考虑个人卫星约束,尝试最大限度地提高整体数据收集,并优先于用户定义的兴趣区域(AOIS)的数据获取和下行链路。拟议的规划系统扩展了先进的规划和调度计划(APSI)时间线的框架,以及为NetSat形成 - 飞行任务开发的规划算法,具有一套优化算法来解决多卫星多地站调度的优化算法问题。这篇论文首先介绍了蒂姆和汤姆任务及其规划领域。然后,它描述了所提出的规划系统和底层算法。最终拟议的解决方案对一组任务方案进行评估。在本文中解决的情景中,星座是任务,以监控全球火山活动,以使用摄影测量方法跟踪和检索灰云高度的最终目标。

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