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曹建峰, 李勰, 鞠冰, 满海钧, 张宇, 刘山洪. 太阳系多星精密定轨软件[J]. 深空探测学报(中英文), 2022, 9(5): 532-541. DOI: 10.15982/j.issn.2096-9287.2022.20220017
引用本文: 曹建峰, 李勰, 鞠冰, 满海钧, 张宇, 刘山洪. 太阳系多星精密定轨软件[J]. 深空探测学报(中英文), 2022, 9(5): 532-541. DOI: 10.15982/j.issn.2096-9287.2022.20220017
CAO Jianfeng, LI Xie, JU Bing, MAN Haijun, ZHANG Yu, LIU Shanhong. Multi-satellite Precision Orbit Determination and Data Analysis Software in Solar System[J]. Journal of Deep Space Exploration, 2022, 9(5): 532-541. DOI: 10.15982/j.issn.2096-9287.2022.20220017
Citation: CAO Jianfeng, LI Xie, JU Bing, MAN Haijun, ZHANG Yu, LIU Shanhong. Multi-satellite Precision Orbit Determination and Data Analysis Software in Solar System[J]. Journal of Deep Space Exploration, 2022, 9(5): 532-541. DOI: 10.15982/j.issn.2096-9287.2022.20220017

太阳系多星精密定轨软件

Multi-satellite Precision Orbit Determination and Data Analysis Software in Solar System

  • 摘要: 针对太阳系空间的航天器轨道计算与应用需求,定位于科学研究与工程试验,研发了太阳系多星精密定轨及数据分析软件(MODAS)。描述了软件的设计与实现,包括数据组织管理、基础服务、观测数据类型、参数解算处理;详细介绍了软件实现的特点,通过对月球、火星、木星及小行星探测数据的处理与比较,验证了软件的功能及精度;对软件下一步发展进行了分析展望。验证结果表明,该软件可应用于多天体、多探测器的联合定轨计算,并可拓展应用于行星科学的研究。

     

    Abstract: Multi-satellite precision Orbit Determination and data Analysis Software in solar system (MODAS) is produced by the orbit dynamics group at the Science and Technology on Aerospace Flight Dynamics Laboratory. It provides an efficient and uniformed approach to perform orbit determination for spacecraft in solar system. In addition, it is aimed at solving the joint orbit determination of multiple spacecraft orbiting different celestial bodies, and can be used for both scientific application analysis and engineering practice. This paper describes the design and implementation of MODAS, including data organization and management, fundamental services, measurement models, and parameter estimation. Then, the implementation characteristics of MODAS are introduced in detail. The function is validated through the exploration data processing of the moon, Mars, Jupiter and asteroids. Finally, further application and improvements of MODAS is discussed.

     

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