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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Phase Error Modeling and Its Impact on Precise Orbit Determination of GRACE Satellites
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Phase Error Modeling and Its Impact on Precise Orbit Determination of GRACE Satellites

机译:相位误差建模及其对GRACE卫星精确定轨的影响

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Limiting factors for the precise orbit determination (POD) of low-earth orbit (LEO) satellite using dual-frequency GPS are nowadays mainly encountered with the in-flight phase error modeling. The phase error is modeled as a systematic and a random component each depending on the direction of GPS signal reception. The systematic part and standard deviation of random part in phase error model are, respectively, estimated by bin-wise mean and standard deviation values of phase postfit residuals computed by orbit determination. By removing the systematic component and adjusting the weight of phase observation data according to standard deviation of random component, the orbit can be further improved by POD approach. The GRACE data of 1–31 January 2006 are processed, and three types of orbit solutions, POD without phase error model correction, POD with mean value correction of phase error model, and POD with phase error model correction, are obtained. The three-dimensional (3D) orbit improvements derived from phase error model correction are 0.0153 m for GRACE A and 0.0131 m for GRACE B, and the 3D influences arisen from random part of phase error model are 0.0068 m and 0.0075 m for GRACE A and GRACE B, respectively. Thus the random part of phase error model cannot be neglected for POD. It is also demonstrated by phase postfit residual analysis, orbit comparison with JPL precise science orbit, and orbit validation with KBR data that the results derived from POD with phase error model correction are better than another two types of orbit solutions generated in this paper.
机译:如今,在飞行中相位误差建模中主要遇到使用双频GPS对低地球轨道(LEO)卫星进行精确轨道确定(POD)的限制因素。根据GPS信号接收的方向,将相位误差建模为系统分量和随机分量。相位误差模型中随机部分的系统部分和标准偏差分别通过按轨道确定计算的相位后拟合残差的二进制平均值和标准偏差值进行估算。通过去除系统分量并根据随机分量的标准偏差调整相位观测数据的权重,可以通过POD方法进一步改善轨道。处理了2006年1月1日至31日的GRACE数据,并获得了三种类型的轨道解,即未经相位误差模型校正的POD,经过相位误差模型均值校正的POD和经过相位误差模型校正的POD。由相位误差模型校正得出的三维(3D)轨道改进对于GRACE A为0.0153μm,对于GRACE B为0.0131μm,而由相位误差模型的随机部分引起的3D影响对于GRACE A为0.0068μm和0.0075μm GRACE B,分别。因此,对于POD,不能忽略相位误差模型的随机部分。通过相位后拟合残差分析,与JPL精确科学轨道的轨道比较以及KBR数据的轨道验证也证明,采用相位误差模型校正的POD得出的结果要比本文中生成的另外两种类型的轨道解决方案要好。

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