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基于空间碎片光学角度测量的弹道系数计算

Ballistic Coefficient Calculation Based on Optical Angle Measurements of Space Debris.

作者信息

Ding Yigao, Li Zhenwei, Liu Chengzhi, Kang Zhe, Sun Mingguo, Sun Jiannan, Chen Long

机构信息

Changchun Observatory, National Astronomical Observatories, Chinese Academy of Sciences, Changchun 130117, China.

University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Sensors (Basel). 2023 Sep 5;23(18):7668. doi: 10.3390/s23187668.

DOI:10.3390/s23187668
PMID:37765725
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10538076/
Abstract

Atmospheric drag is an important factor affecting orbit determination and prediction of low-orbit space debris. To obtain accurate ballistic coefficients of space debris, we propose a calculation method based on measured optical angles. Angle measurements of space debris with a perigee height below 1400 km acquired from a photoelectric array were used for orbit determination. Perturbation equations of atmospheric drag were used to calculate the semi-major-axis variation. The ballistic coefficients of space debris were estimated and compared with those published by the North American Aerospace Defense Command in terms of orbit prediction error. The 48 h orbit prediction error of the ballistic coefficients obtained from the proposed method is reduced by 18.65% compared with the published error. Hence, our method seems suitable for calculating space debris ballistic coefficients and supporting related practical applications.

摘要

大气阻力是影响低轨道空间碎片轨道确定和预测的一个重要因素。为了获得准确的空间碎片弹道系数,我们提出了一种基于测量光学角度的计算方法。利用从光电阵列获取的近地点高度低于1400公里的空间碎片角度测量数据进行轨道确定。使用大气阻力摄动方程来计算半长轴变化。估计了空间碎片的弹道系数,并就轨道预测误差与北美航空航天防御司令部公布的系数进行了比较。与公布的误差相比,所提方法得到的弹道系数的48小时轨道预测误差降低了18.65%。因此,我们的方法似乎适用于计算空间碎片弹道系数并支持相关实际应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/5078d9c302aa/sensors-23-07668-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/a396e6139cbd/sensors-23-07668-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/5724d32b15b7/sensors-23-07668-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/72d9f766c4de/sensors-23-07668-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/8355405be049/sensors-23-07668-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/7d545c2888f1/sensors-23-07668-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/fb840ef85d80/sensors-23-07668-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/fe8fbb706b57/sensors-23-07668-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/4e2b8b860243/sensors-23-07668-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/a87b31241482/sensors-23-07668-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/5078d9c302aa/sensors-23-07668-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/a396e6139cbd/sensors-23-07668-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/5724d32b15b7/sensors-23-07668-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/72d9f766c4de/sensors-23-07668-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/8355405be049/sensors-23-07668-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/7d545c2888f1/sensors-23-07668-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/fb840ef85d80/sensors-23-07668-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/fe8fbb706b57/sensors-23-07668-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/4e2b8b860243/sensors-23-07668-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/a87b31241482/sensors-23-07668-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbba/10538076/5078d9c302aa/sensors-23-07668-g010.jpg

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