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Spaceborne accelerometry and temporal gravity analysis from the CHAMP satellite mission.

机译:CHAMP卫星任务的星载加速度测量和时间重力分析。

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The research presented in this thesis was conducted with two central objectives: (1) the development of techniques for the incorporation of satellite accelerometry in geodetic applications, and (2) the recovery of short-period temporal variations in Earth's gravity field from the tracking data of a single, low-orbiting satellite. The data used in this research consisted of double-differenced GPS carrier phase data (approximately 65,000 observations per 30-hour arc), and satellite laser ranging (SLR) data (approximately 100 observations per 30-hour arc) from the CHAMP satellite for the year 2002. The average 30-hour GPS residual RMS of reduced-dynamic orbit determination was 0.80 cm. The average residual RMS of the SLR data was 3.96 cm. The ephemeris (trajectory) estimated from reduced-dynamic processing served as pseudo-observation data for accelerometer calibration and temporal gravity recovery, eliminating the thousands of nuisance parameters associated with the GPS data. Low-rate (0.1 Hz) accelerometer data were calibrated using conventional non-conservative force models, then integrated into the equations of motion in lieu of all non-conservative forces. Attitude quaternions based on in situ star camera data were used to model spacecraft attitude. Thruster perturbations were constrained together by thruster pair and modeled as impulsive velocity increments.; The annual signals of the gravity field up to degree and order three (3 x 3) were recovered, at least partially, from the CHAMP tracking data. Estimating temporal coefficients higher than degree three resulted in strong correlation between coefficients. Analysis of the resulting CHAMP annual gravity signals showed a favorable comparison with the existing results of SLR data gathered over multiple years (1979--2004) from multiple satellites in various orbits. The CHAMP results also compared favorably with the preliminary results of the Gravity Recovery and Climate Experiment (GRACE) satellite mission, and with contemporary geophysical models of ocean mass and continental hydrology.; The research was supported by the Space Geodesy Laboratory of the NASA Goddard Space Flight Center (GSFC). The majority of the data processing and analysis was done with the aid of GSFC computing resources, most notably the computer programs Geodyn II and Solve. The research was funded by a Graduate Student Research Program (GSRP) fellowship from NASA.
机译:本文提出的研究主要有两个主要目标:(1)开发将卫星加速度计纳入大地测量应用的技术;(2)从跟踪数据中恢复地球重力场的短期时间变化一颗低轨道卫星。本研究中使用的数据包括来自CHAMP卫星的双差GPS载波相位数据(每30小时弧约65,000次观测)和来自CHAMP卫星的卫星激光测距(SLR)数据(每30小时弧约100次观测)。年份为2002年。减动力轨道确定的平均30小时GPS剩余RMS为0.80 cm。 SLR数据的平均剩余RMS为3.96 cm。通过减少动态处理估算出的星历表(轨迹)用作加速度计校准和时间重力恢复的伪观测数据,从而消除了与GPS数据相关的数千个令人讨厌的参数。使用常规非保守力模型对低速(0.1 Hz)加速度计数据进行校准,然后代替所有非保守力将其集成到运动方程中。基于原位星照相机数据的姿态四元数用于对航天器姿态进行建模。推力器对将推力器的扰动约束在一起,并建模为脉冲速度增量。从CHAMP跟踪数据中至少部分地恢复了直到三度和三阶(3 x 3)的重力场的年度信号。估计高于三级的时间系数会导致系数之间的相关性很强。对由此产生的CHAMP年重力信号进行的分析表明,它与从多个轨道上的多个卫星收集的多年(1979--2004)的SLR数据的现有结果进行了很好的比较。 CHAMP的结果也与重力恢复和气候实验(GRACE)卫星任务的初步结果以及海洋质量和大陆水文学的现代地球物理模型相比具有优势。这项研究得到了美国宇航局戈达德太空飞行中心(GSFC)的太空大地测量实验室的支持。大多数数据处理和分析是在GSFC计算资源的帮助下完成的,最著名的是计算机程序Geodyn II和Solve。该研究由美国宇航局的研究生研究计划(GSRP)奖学金资助。

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