基于TLE数据的航天器位置预测程序的开发

IF 0.2 Q4 MATHEMATICS
Peng Xu
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引用次数: 0

摘要

.准确预测航天器的位置对于完成任务和科学研究至关重要。基于航天器的TLE数据档案,使用Python中的第一组TLE数据和SGP4/SD4模型,以坐标形式预测了近地轨道航天器(Аl-Farabi-2)、中地轨道航天器(BEIDOU-3 M20)和高地球轨道航天器(IPM 2和BREEZE-M R/B)的位置。这项工作也使用STK软件进行比较。通过解析这些航天器的TLE数据档案,获得了它们的实际位置,并计算了两种预测方法的误差。将误差进行比较,以评估两种方法的相似性和预测准确性。这种综合分析允许使用Python程序作为STK软件的替代方案来评估预测航天器放置的可行性。结果表明,基于Python的方法可以有效地用于精确的卫星坐标预测,为STK软件提供了一种更方便、更具成本效益的替代方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a program for the prediction of placement of spacecraft based on TLE data
. Accurate prediction of spacecraft placement is crucial for mission completion and scientific research. Based on the archive of the TLE data of the spacecraft, the placements of the Low Earth Orbit spacecraft ( Аl -Farabi-2), Medium Earth Orbit spacecraft (BEIDOU-3 M20), and High Earth Orbit spacecraft (IPM 2 & BREEZE-M R/B) were predicted in coordinate form using the first set of TLE data and SGP4/SDP4 model in Python. This work also employs the STK software for comparison purposes. The actual placements of these spacecraft are obtained by parsing their TLE data archives, and the errors of the two prediction methods are calculated. The errors are compared to evaluate the similarity and prediction accuracy of the two methods. This comprehensive analysis allows for an assessment of the feasibility of predicting spacecraft placements using a Python program as an alternative to the STK software. The results indicate that the Python-based method can be effectively used for accurate satellite coordinate prediction, offering a more accessible and cost-effective alternative to the STK software.
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来源期刊
CiteScore
0.30
自引率
0.00%
发文量
11
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