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Atmospheric density estimation using satellite precision orbit ephemerides.

机译：使用卫星精密轨道星历表估算大气密度。

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摘要

The current atmospheric density models are not capable enough to accurately model the atmospheric density, which varies continuously in the upper atmosphere mainly due to the changes in solar and geomagnetic activity. Inaccurate atmospheric modeling results in erroneous density values that are not accurate enough to calculate the drag estimates acting on a satellite, thus leading to errors in the prediction of satellite orbits. This research utilized precision orbit ephemerides (POE) data from satellites in an orbit determination process to make corrections to existing atmospheric models, thus resulting in improved density estimates.;The work done in this research made corrections to the Jacchia family atmospheric models and Mass Spectrometer Incoherent Scatter (MSIS) family atmospheric models using POE data from the Ice, Cloud and Land Elevation Satellite (ICESat) and the Terra Synthetic Aperture Radar-X Band (TerraSAR-X) satellite. The POE data obtained from these satellites was used in an orbit determination scheme which performs a sequential filter/smoother process to the measurements and generates corrections to the atmospheric models to estimate density. This research considered several days from the year 2001 to 2008 encompassing all levels of solar and geomagnetic activity. Density and ballistic coefficient half-lives with values of 1.8, 18, and 180 minutes were used in this research to observe the effect of these half-life combinations on density estimates. This research also examined the consistency of densities derived from the accelerometers of the Challenging Mini Satellite Payload (CHAMP) and Gravity Recovery and Climate Experiment (GRACE) satellites by Eric Sutton, from the University of Colorado. The accelerometer densities derived by Sutton were compared with those derived by Sean Bruinsma from CNES, Department of Terrestrial and Planetary Geodesy, France. The Sutton densities proved to be nearly identical to the Bruinsma densities for all the cases considered in this research, thus suggesting that Sutton densities can be used as a substitute for Bruinsma densities in validating the POE density estimates for future work.;Density estimates were found using the ICESat and TerraSAR-X POE data by generating corrections to the CIRA-72 and NRLMSISE-00 atmospheric density models. The ICESat and TerraSAR-X POE density estimates obtained were examined and studied by comparing them with the density estimates obtained using CHAMP and GRACE POE data. The trends in how POE density estimates varied for all four satellites were found to be the same or similar. The comparisons were made for different baseline atmospheric density models, different density and ballistic coefficient correlated half-lives, and for varying levels of solar and geomagnetic activity. The comparisons in this research help in understanding the variation of density estimates for various satellites with different altitudes and orbits.
机译：当前的大气密度模型不足以准确地对大气密度进行建模，而大气密度主要由于太阳和地磁活动的变化而在高层大气中连续变化。不正确的大气建模会导致密度值错误，而密度值不够准确，不足以计算作用在卫星上的阻力估计值，从而导致卫星轨道预测中的错误。这项研究在轨道确定过程中利用了来自卫星的精密轨道星历表（POE）数据对现有的大气模型进行了校正，从而提高了密度估计值;该研究所做的工作对Jacchia系列大气模型和质谱仪进行了校正。非相干散射（MSIS）系列大气模型，使用来自冰，云和陆地高程卫星（ICESat）和Terra综合孔径雷达X波段（TerraSAR-X）卫星的POE数据。从这些卫星获得的POE数据用于轨道确定方案，该方案对测量结果执行顺序的滤波/平滑处理，并生成对大气模型的校正以估计密度。这项研究考虑了从2001年到2008年的几天，涵盖了所有水平的太阳和地磁活动。在这项研究中，使用密度和弹道系数半衰期分别为1.8、18和180分钟，以观察这些半衰期组合对密度估计的影响。这项研究还检查了科罗拉多大学Eric Sutton从具有挑战性的微型卫星有效载荷（CHAMP）和重力恢复与气候实验（GRACE）卫星的加速度计得出的密度的一致性。比较了萨顿得出的加速度计密度和法国陆地与行星测地学系CNES的肖恩·布鲁因斯马得出的加速度计密度。在本研究中考虑的所有情况下，萨顿密度被证明与布鲁因斯密度几乎相同，因此表明萨顿密度可以用来代替布鲁因斯马密度来验证POE密度估计以用于未来工作。通过生成对CIRA-72和NRLMSISE-00大气密度模型的更正，使用ICESat和TerraSAR-X POE数据。通过将获得的ICESat和TerraSAR-X POE密度估计值与使用CHAMP和GRACE POE数据获得的密度估计值进行比较，来进行检查和研究。发现所有四颗卫星的POE密度估计如何变化的趋势是相同或相似的。比较是针对不同的基准大气密度模型，不同的密度和弹道系数相关的半衰期以及不同水平的太阳和地磁活动进行的。本研究中的比较有助于理解不同高度和轨道的各种卫星的密度估计值的变化。

著录项

  • 作者

    Arudra, Anoop Kumar.;

  • 作者单位

    University of Kansas.;

  • 授予单位 University of Kansas.;
  • 学科 Engineering Aerospace.
  • 学位 M.S.
  • 年度 2011
  • 页码 123 p.
  • 总页数 123
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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