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Density model corrections derived from orbit data to characterize upper atmospheric density variations.

机译:从轨道数据得出的密度模型修正值,以表征高层大气密度变化。

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摘要

One goal of this research is to estimate density model corrections using readily available Satellite Laser Ranging (SLR) data, and to demonstrate this approach's validity for additional satellites with similar data sets in the future. The research also aims to utilize previously unused or little used sources of orbit state data to generate corrections to existing density models. These corrections yield estimated density corrections which lead to better drag estimates, improved orbit determination and prediction, as well as an enhanced understanding of density variations in the thermosphere and exosphere. This research primarily focuses on using SLR data. This examination will give a better idea of obtainable improvements in atmospheric density. Consideration will also be given to the effects of varying levels of geomagnetic and solar activity.;This work established the validity of using SLR data to estimate atmospheric densities by comparing results for the ANDE Castor satellite to results for the CHAMP and GRACE satellites for the same time periods. The density correction factors and standard deviations comparing the baseline model densities to the derived atmospheric densities are also examined for the ANDE Castor satellite. For the entire family of ANDE satellites, the uncertainty in atmospheric density is established for each arc. The uncertainties are significantly higher at the beginning of the arc for each of the satellites, and the uncertainties also increase as the satellites drop in altitude. Preliminary density values for the Special Purpose Inexpensive Satellite (SPINSat) are also derived.
机译:这项研究的一个目标是使用现成的卫星激光测距(SLR)数据估算密度模型的校正,并证明这种方法对于将来具有类似数据集的其他卫星的有效性。该研究还旨在利用先前未使用或很少使用的轨道状态数据源生成对现有密度模型的校正。这些校正产生估计的密度校正,从而导致更好的阻力估计,改进的轨道确定和预测,以及对热圈和外圈大气密度变化的更好理解。这项研究主要集中在使用SLR数据上。这项检查将为获得大气密度的改善提供更好的思路。还将考虑地磁和太阳活动水平变化的影响。这项工作通过将ANDE Castor卫星的结果与CHAMP和GRACE卫星的结果进行比较,确定了使用SLR数据估算大气密度的有效性时间段。还针对ANDE Castor卫星检查了将基线模型密度与导出的大气密度进行比较的密度校正因子和标准偏差。对于整个ANDE卫星系列,每个弧段的大气密度都不确定。每个卫星的弧度开始时不确定性都很高,并且随着卫星高度的降低,不确定性也会增加。还推算出专用廉价卫星(SPINSat)的初步密度值。

著录项

  • 作者单位

    University of Kansas.;

  • 授予单位 University of Kansas.;
  • 学科 Aerospace engineering.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 100 p.
  • 总页数 100
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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