轨道光学装置获取空间物体信息的能力评估

IF 1.9 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
V. Prorok, Anatoliy Karytko, A. Goryanskiy, E. Emelyanova
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引用次数: 0

摘要

本研究的目的是在物体经过轨道之间距离最小的点附近时,选择最佳条件,通过空间光电手段收集航天器的非坐标信息。提出了一个定量指标,用于衡量以所需质量水平获得空间物体非坐标信息的可能性。表征指示器的函数的论点是航天器之间的距离;它们的相对速度;太阳照射航天器相对于光电装置的相位角;两个物体都在其轨道之间最小距离点附近的时间间隔的长度。指标的值是通过解决三个特定的研究问题来计算的。第一项任务是搜索包括受控航天器轨道和光学电子装置之间最小距离的邻域。为了解决这个问题,使用了一种快速算法来计算轨道之间的最小距离。此外,在长达60小时的时间间隔内,还考虑了发现的社区的漂移。第二项任务是估计受控航天器在航天器轨道之间距离的最小点附近的运动特征和光学可见度条件。利用空间物体运动预测的SGP4库,解决了这一问题。第三项任务是证明和计算一个指标,该指标表征在给定的光学能见度条件下获得航天器光学图像的可能性。为了解决这个问题,使用了所开发的模糊推理规则系统和Mamdani算法。所提出的方法被实现为一个程序。在计算实验过程中,评估了获得低轨道和地球静止空间物体非坐标信息的可能性。所提出的指标提高了收集空间物体非坐标信息的程序的效率,方法是在给定的收集空间物体信息的规划间隔内,从现有的一组可能观测中选择信息最丰富的备选方案来监测空间物体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of the capabilities of orbital optical devices for obtaining information about space objects
The purpose of the study is to select the optimal conditions for collecting non-coordinate information about a spacecraft by a space optical-electronic means at the time objects pass the vicinity of the points of the minimum distance between their orbits. The quantitative indicator is proposed that characterize the measure of the possibility of obtaining non-coordinate information about space objects with the required level of quality. The arguments of the function characterizing the indicator are the distance between spacecraft; their relative speed; phase angle of illumination of a spacecraft by the Sun in relation to the optical-electronic means; the length of the time interval during which both objects are in the vicinity of the point of a minimum distance between their orbits. The value of the indicator is computed by solving three particular research problems. The first task is to search for neighborhoods that include the minimum distances between the orbits of the controlled spacecraft and optical-electronic means. To solve it, a fast algorithm for calculating the minimum distance between orbits used. Additionally, the drift of the found neighborhoods is taken into account on the time interval up to 60 hours. The second task is to estimate the characteristics of motion and the conditions of optical visibility of a controlled spacecraft in the vicinity of the minimum points of the distance between the orbits of spacecraft. The solution to this problem is carried out by using the SGP4 library of space objects motion forecast. The third task is justification and calculation of an index characterizing the measure of the possibility of obtaining an optical image of a spacecraft for given conditions of optical visibility. To solve the problem, the developed system of fuzzy inference rules and the Mamdani algorithm is used. The presented method is implemented as a program. In the course of a computational experiment, an assessment was made of the possibility of obtaining non-coordinate information on low-orbit and geostationary space objects. The proposed indicator provides an increase in the efficiency of the procedure for collecting non-coordinate information about space objects by choosing the most informative alternatives for monitoring space objects from the available set of possible observations at a given planning interval for collecting information about space objects.
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来源期刊
Intelligenza Artificiale
Intelligenza Artificiale COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
3.50
自引率
6.70%
发文量
13
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