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在有限观测环境下利用两个跟踪站点的角度和激光测距数据进行空间碎片轨道预测分析

Analysis of Space Debris Orbit Prediction Using Angle and Laser Ranging Data from Two Tracking Sites under Limited Observation Environment.

作者信息

Kim Simon, Lim Hyung-Chul, Bennett James C, Lachut Michael, Jo Jung Hyun, Choi Jin, Choi Mansoo, Park Eunseo, Yu Sung-Yeol, Sung Ki-Pyoung

机构信息

Korea Astronomy and Space Science Institute, Daejeon 34055, Korea.

Astronomy and Space Science Department, University of Science and Technology, Korea, Daejeon 34113, Korea.

出版信息

Sensors (Basel). 2020 Mar 31;20(7):1950. doi: 10.3390/s20071950.

DOI:10.3390/s20071950
PMID:32244345
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7180740/
Abstract

The global electro-optical (EO) and laser tracking sensor network was considered to investigate improvements to orbit prediction (OP) accuracy of space debris by combining angle and laser ranging data. However, it is worth noting that weather, schedule and visibility constraints can frequently limit the operations of such sensors, which may not result in sufficient tracking data for accurate OP. In this study, several 1-day OP results for low Earth orbit (LEO) space debris targets were demonstrated under a limited observation environment to verify the OP accuracy through the combination of angle and laser ranging data from two sites. For orbit determination (OD) processes, it was considered to analyze the OP accuracy by one site providing both 2-day arc angle data and 1-day arc laser ranging data, while the other was limited to 1-day arc angle data. In addition, the initial ballistic coefficient ( B C ) application method was proposed and implemented for the improvement of OD/OP accuracy, which introduces the modified correction factor depending on the drag coefficient. In the cases of combining the angle and laser ranging data, the OP results show the 3D position difference values are below 100 m root mean square (RMS) with small position uncertainty. This value satisfies the target OP accuracy for conjunction assessments and blind laser ranging (about 50-100 m at 1000 km altitude). The initial B C application method also shows better OP accuracy than the method without the correction factor.

摘要

考虑使用全球光电(EO)和激光跟踪传感器网络,通过结合角度和激光测距数据来研究提高空间碎片轨道预测(OP)精度的方法。然而,值得注意的是,天气、日程安排和能见度限制常常会制约此类传感器的运行,这可能无法获取足够的跟踪数据以实现精确的轨道预测。在本研究中,在有限的观测环境下展示了低地球轨道(LEO)空间碎片目标的几个为期1天的轨道预测结果,以通过结合来自两个站点的角度和激光测距数据来验证轨道预测精度。对于轨道确定(OD)过程,考虑由一个站点提供2天弧段的角度数据和1天弧段的激光测距数据,而另一个站点仅限于1天弧段的角度数据,以此来分析轨道预测精度。此外,为提高轨道确定/轨道预测精度,提出并实施了初始弹道系数(BC)应用方法,该方法引入了取决于阻力系数的修正校正因子。在结合角度和激光测距数据的情况下,轨道预测结果表明三维位置差值的均方根(RMS)低于100米,且位置不确定性较小。该值满足交会评估和盲激光测距的目标轨道预测精度要求(在1000千米高度约为50 - 100米)。初始弹道系数应用方法也比不使用校正因子的方法显示出更好的轨道预测精度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b72c/7180740/b28bb303b725/sensors-20-01950-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b72c/7180740/5371a0731d7d/sensors-20-01950-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b72c/7180740/c2b3314bb905/sensors-20-01950-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b72c/7180740/0d3b595604f1/sensors-20-01950-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b72c/7180740/9895300a3a77/sensors-20-01950-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b72c/7180740/d1a05f00a3bb/sensors-20-01950-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b72c/7180740/376a01fc0d96/sensors-20-01950-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b72c/7180740/f60c2af5e953/sensors-20-01950-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b72c/7180740/b28bb303b725/sensors-20-01950-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b72c/7180740/5371a0731d7d/sensors-20-01950-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b72c/7180740/c2b3314bb905/sensors-20-01950-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b72c/7180740/0d3b595604f1/sensors-20-01950-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b72c/7180740/9895300a3a77/sensors-20-01950-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b72c/7180740/d1a05f00a3bb/sensors-20-01950-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b72c/7180740/376a01fc0d96/sensors-20-01950-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b72c/7180740/f60c2af5e953/sensors-20-01950-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b72c/7180740/b28bb303b725/sensors-20-01950-g008a.jpg

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本文引用的文献

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Optical Tracking Data Validation and Orbit Estimation for Sparse Observations of Satellites by the OWL-Net.OWL-Net 对卫星稀疏观测的光跟踪数据验证和轨道估计。
Sensors (Basel). 2018 Jun 7;18(6):1868. doi: 10.3390/s18061868.
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Comparison of Ultra-Rapid Orbit Prediction Strategies for GPS, GLONASS, Galileo and BeiDou.全球定位系统(GPS)、格洛纳斯(GLONASS)、伽利略(Galileo)和北斗卫星导航系统超快速轨道预测策略的比较
Sensors (Basel). 2018 Feb 6;18(2):477. doi: 10.3390/s18020477.
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A Real-Time Orbit Determination Method for Smooth Transition from Optical Tracking to Laser Ranging of Debris.一种用于从碎片的光学跟踪平稳过渡到激光测距的实时轨道确定方法。
Sensors (Basel). 2016 Jun 24;16(7):962. doi: 10.3390/s16070962.
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A Novel Method for Precise Onboard Real-Time Orbit Determination with a Standalone GPS Receiver.一种使用独立全球定位系统(GPS)接收机进行精确机载实时轨道确定的新方法。
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