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Early Blast Point Determination For Large GEO Fragmentation Events

机译:大型地理碎片事件的早期爆炸点决定

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The rush to obtain space real estate has created an increase in planned satellite launches and with it an increase in potential fragmentation events. These events generate debris fragments that threaten the usability of space. Providing timely, accurate, and statistically significant Space Situational Awareness (SSA) data is crucial to protect space assets and operations. Determining the point of initial breakup, the blast point, is valuable in characterizing and modeling the event. A standard approximation of the blast point is to propagate the mean orbits of well-tracked debris fragments, backward in time, to the time of closest approach. At this time, fragment positions are averaged to determine the blast point location. The errors in this approach arise from the uncertainty in debris fragment state and the uncertainty in the time of the fragmentation event. Accounting for these uncertainties can increase blast point estimation accuracies. In this paper, the authors discuss the complexities involved in this approximation and discuss methods used to determine the blast point. Parameters such as the number of tracked debris fragments and the uncertainty in both time and fragment state are used to develop an understanding of method sensitivities. The authors present multiple approaches for blast point determination that take advantage of fragment state uncertainty. These techniques are tested using GEO fragmentation events simulated according to NASA's standard breakup model.
机译:急于获得太空房地产的计划卫星发射的增加,潜在的碎片事件增加了。这些事件生成威胁空间可用性的碎片片段。提供及时,准确和统计上显着的空间情境感知(SSA)数据对于保护空间资产和操作至关重要。确定初始分发的点,爆炸点,在表征和建模事件时是有价值的。爆炸点的标准近似是将良好跟踪的碎片碎片的平均轨道展示到最近的方法的时间。此时,将片段位置平均以确定爆炸点位置。这种方法中的误差来自碎片片段状态的不确定性以及碎片事件时的不确定性。对这些不确定性的核算可以增加爆炸点估计准确性。在本文中,作者讨论了这种近似涉及的复杂性,并讨论用于确定爆炸点的方法。诸如跟踪的碎片片段的数量和两次和片段状态的不确定性的参数用于发展对方法敏感性的理解。作者提出了利用片段状态不确定性的多种爆炸点测定方法。使用根据NASA标准分析模型模拟的地理碎片事件测试这些技术。

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