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Combining observations for re-entry purposes

机译:结合重新入境目的的观察

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On average, two small tracked debris objects re-enter the Earth's atmosphere every day and burn up. Only a few very large objects, such as heavy science satellites, re-enter Earth's atmosphere in a year, while objects of moderate size, i.e. 1 m or larger, re-enter about once a week. Pieces of these large space debris objects (such as satellites, spent rocket bodies and large fragments) that re-enter the atmosphere in an uncontrolled way can reach the ground and pose a risk to the population or on-ground infrastructure. The related risk for an individual is, however, several orders of magnitude smaller than commonly accepted risks in daily life. The European Space Agency (ESA) Space Debris Office (SDO) provides information on upcoming and past re-entries to a wide target audience, including national civil protection agencies, researchers and the general public, via a web-based portal [1]. ESA also participates in and hosts a re-entry data exchange platform for the IADC (Inter-Agency Space Debris Coordination Committee). In order to generate predictions for a given re-entry, orbital data of the object is required. There may be many different sources of data, provided in diverse formats like TLEs (two-line elements), orbital state vectors, or ephemeris, and sometimes raw data from various type of sensors. In that case, an additional process is needed to process the data and compute an orbit determination (OD), with a possible combination of data from different sources. The results of the data fusion are then used to increase the accuracy of the re-entry prediction results. Currently, ESA's main objective is to further automate the re-entry prediction process, which currently requires some expert interaction to exploit its full capabilities, and to reduce the uncertainties associated to the predictions. In this paper, we explain how the adopted re-entry prediction process works, how the orbital data is combined, and we show some real re-entry cases (as the upper stage f
机译:平均而言,两个小型履带碎片物体每天重新进入地球的氛围并烧坏。只有一些非常大的物体,如重型科学卫星,在一年内重新进入地球的气氛,而中等大小的物体,即1米或更大,每周重新进入一次。这些大型空间碎片物体(如卫星,花火车身和大碎片)以不受控制的方式重新进入大气层可以到达地面,对人口或地面基础设施构成风险。然而,个人的相关风险比日常生活中常见的风险小的几个数量级。欧洲航天局(ESA)空间碎片办公室(SDO)通过基于Web的门户的门户提供了关于即将到来的宽敞目标受众,包括国家民事保护机构,研究人员和公众的信息。 ESA还参与IADC(机构间空间碎片协调委员会)重新进入数据交换平台。为了生成对给定重新输入的预测,需要对象的轨道数据。可能存在许多不同的数据来源,以不同的格式提供,如TLES(双线元素),轨道状态向量或星历,有时来自各种类型的传感器的原始数据。在这种情况下,需要一个额外的进程来处理数据并计算轨道确定(OD),具有来自不同来源的可能组合。然后使用数据融合的结果来提高重新进入预测结果的准确性。目前,ESA的主要目标是进一步自动化重新进入预测过程,目前需要一些专家互动来利用其完整能力,并减少与预测相关的不确定性。在本文中,我们解释了采用的重新进入预测过程如何工作,如何组合轨道数据,并且我们显示了一些真实的重新入口案例(作为上阶段f

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