Demonstrating developments in high-fidelity analytical radiation force modelling methods for spacecraft with a new model for GPS IIR/IIR-M

Demonstrating developments in high-fidelity analytical radiation force modelling methods for spacecraft with a new model for GPS IIR/IIR-M
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DOI:
10.1007/s00190-019-01265-7
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发表时间:
2019-06
期刊:
影响因子:
4.4
通讯作者:
Santosh Bhattarai;M. Ziebart;S. Allgeier;Stuart Grey;T. Springer;David A Harrison;Zhen Li
Santosh Bhattarai;M. Ziebart;S. Allgeier;Stuart Grey;T. Springer;David A Harrison;Zhen Li
中科院分区:
地球科学1区
文献类型:
--
作者:
Santosh Bhattarai;M. Ziebart;S. Allgeier;Stuart Grey;T. Springer;David A Harrison;Zhen Li

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本文介绍了最近发展的战略,高保真,分析辐射力建模的航天器。使用全球定位系统Block IIR和IIR-M航天器的新模型评估这些建模策略的性能。在一个完整的轨道估计过程中,使用来自100个站的跟踪数据的各种轨道模型参数的统计数据进行检查。在2016年全年,考虑到轨道上的所有Block IIR和IIR-M卫星,将伦敦大学学院的基于网格的模型引入轨道确定过程中,与使用更简单的航天器箱翼模型估计的轨道相比,平均三维轨道重叠值减少了9%,平均轨道重叠值的噪声减少了4%。与扩展的经验CODE轨道模型相比,我们发现3-d轨道重叠统计的平均值和平均噪声分别降低了4%和3%。在14天间隔的轨道预测中,在第一天,我们看到沿轨道和跨轨道方向的均方根误差较小,但径向误差略大。在第14天,我们看到径向和跨轨道方向的误差较小,但沿轨道方向的误差略大。
This paper presents recently developed strategies for high-fidelity, analytical radiation force modelling for spacecraft. The performance of these modelling strategies is assessed using a new model for the Global Positioning System Block IIR and IIR-M spacecraft. The statistics of various orbit model parameters in a full orbit estimation process that uses tracking data from 100 stations are examined. Over the full year of 2016, considering all Block IIR and IIR-M satellites on orbit, introducing University College London’s grid-based model into the orbit determination process reduces mean 3-d orbit overlap values by 9% and the noise about the mean orbit overlap value by 4%, when comparing against orbits estimated using a simpler box-wing model of the spacecraft. Comparing with orbits produced using the extended Empirical CODE Orbit Model, we see decreases of 4% and 3% in the mean and the noise about the mean of the 3-d orbit overlap statistics, respectively. In orbit predictions over 14-day intervals, over the first day, we see smaller root-mean-square errors in the along-track and cross-track directions, but slightly larger errors in the radial direction. Over the 14th day, we see smaller errors in the radial and cross-track directions, but slightly larger errors in the along-track direction.