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EVALUATING ORBIT DETERMINATION POST-PROCESSING METHODS FOR OPERATIONAL ARTEMIS DATA

机译:作战伪数据的定轨确定后处理方法

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Operating in the highly dynamic Earth-Moon libration point orbit (LPO) region,which is predominantly perturbed by the Earth, the Moon, and the Sun, isa challenge. The Artemis mission operated by the NASA Goddard Space FlightCenter and the University of California at Berkeley recently became the first toever maintain orbits in this regime. The resulting operational data provides significantopportunity for analysis to better understand these orbits and their operationalconstraints. Future efforts to quantify orbit determination results, recoverun-modeled accelerations, realistic uncertainty propagation, and ultimatelyLPO utilization will grow out of an ability to post-process this operationaldata for further understanding of the dynamics involved. To prepare forpost-processing of this data, this paper quantifies the effects of various contributorsto the dynamic models, experimentally models errors in a simulated environment,and outlines areas of future focus. Realistic spacecraft ephemerisand attribute information will be used to the maximum extent possible. Simulationsof orbit determination efficacy are performed using the Analytical GraphicsInc. Orbit Determination Tool Kit (ODTK) with appropriate tracking andspacecraft characteristics and known error sources.
机译:在高度动态的月球解放点轨道(LPO)区域中运行, 主要受地球,月亮和太阳干扰 一个挑战。由美国国家航空航天局戈达德太空飞行运营的Artemis任务 中心和加州大学伯克利分校最近成为第一个 一直保持这种制度的轨道。产生的运营数据提供了重要的信息 有机会进行分析以更好地了解这些轨道及其运行情况 约束。未来量化轨道确定结果的工作,将恢复 未建模的加速度,现实的不确定性传播以及最终 LPO利用率将来自对该业务进行后处理的能力 数据,以进一步了解所涉及的动态。为做准备 对这些数据进行后期处理,本文对各种贡献者的影响进行了量化 动态模型,在模拟环境中通过实验对错误进行建模, 并概述了未来的重点领域。现实的航天器星历 属性信息将得到最大程度的利用。模拟 使用分析图形进行轨道确定效能的确定 Inc.轨道确定工具套件(ODTK),具有适当的跟踪和跟踪功能 航天器的特性和已知的误差源。

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