GOCE卫星SGG数据处理及空域法恢复地球重力场模型研究

发布时间：2018-05-21 06:36

本文选题：地球重力场模型 + SGG　；参考：《解放军信息工程大学》2013年硕士论文

【摘要】：本文主要研究了GOCE卫星SGG数据的预处理及恢复地球重力场模型的理论与方法，利用61天的SGG数据研制了210阶重力场模型Wiener_200deg_DD2_Vxxyy和220阶重力场模型GOCE_EGM2008_Vxxyyzz地球重力场模型。作者在文中所做工作和创新点有：（1）研究了潮汐效应对GOCE卫星梯度数据的影响，给出了潮汐改正沿轨SGG数据的计算公式，基于JPL提供的精密星历、CSR4.0海潮模型和IERS提供的极移数据分别计算了GOCE卫星61天的天文潮、固体潮、海潮和极潮改正，并分析了潮汐改正的频谱特性。（2）给出了GOCE卫星姿态的计算公式，并计算了GOCE卫星沿轨姿态数据。研究了GOCE卫星粗差探测的方法和标定模型，并对GOCE卫星实测数据进行了粗差探测和系统误差的标定。（3）对GOCE卫星标定后的SGG数据进行了误差分析，并计算了其噪声功率谱密度，根据噪声功率谱密度分析了GOCE卫星SGG数据恢复地球重力场的能力。（4）给出了GOCE卫星SGG数据的归算和格网化方法，研究了PG问题对于解算模型的影响。（5）提出了基于低阶先验模型的迭代Wiener滤波方法，在研究基于Wiener滤波的调和分析方法基础上，比较了不同阶次先验重力场模型以及组合分量对恢复重力场模型的影响。最后利用该方法基于61天的GOCE卫星SGG数据组合分量恢复了210阶重力场模型Wiener_200deg_DD2_Vxxyy，，该模型在90阶后精度高于ITG2010。（6）研究了基于FIR带通滤波器的频域融合方法，提出了一种基于FIR带通滤波器恢复地球重力场模型的最优方法，并基于61天的GOCE卫星SGG数据组合分量恢复了220阶重力场模型GOCE_EGM2008_Vxxyyzz，其精度高于go_cons_gcf_2_spw_r1。
[Abstract]:In this paper, the preprocessing of SGG data from GOCE satellite and the theory and method of restoring the earth gravity field model are studied. Based on the 61 day SGG data, the 210th order gravity field model Wiener_200deg_DD2_Vxxyy and the 220-order gravity field model GOCE_EGM2008_Vxxyyzz earth gravity field model are developed. The author's work and innovations in this paper are as follows: 1) the influence of tidal effect on the gradient data of GOCE satellite is studied, and the formula for calculating the SGG data of tidal correction along the orbit is given. Based on the precise ephemeris CSR 4.0 tidal model provided by JPL and the polar shift data provided by IERS, the astronomical tide of 61 days of GOCE satellite is calculated, respectively. The correction of solid tide, sea tide and polar tide is analyzed, and the spectral characteristics of tide correction are analyzed. A formula for calculating the attitude of GOCE satellite is given, and the attitude data along the orbit of GOCE satellite are calculated. The gross error detection method and calibration model of GOCE satellite are studied, and the gross error detection and system error calibration of GOCE satellite measured data are carried out. The error analysis of SGG data after calibration of GOCE satellite is carried out, and the noise power spectral density is calculated. According to the noise power spectrum density, the ability of GOCE satellite SGG data to recover the earth gravity field is analyzed. In this paper, the method of GOCE satellite SGG data reduction and grid is given, and the influence of PG problem on the solution model is studied. (5) an iterative Wiener filtering method based on low order prior model is proposed. Based on the harmonic analysis method based on Wiener filter, the effects of different order prior gravity field models and combined components on restoring gravity field model are compared. Finally, the 210-order gravity field model Wiener _ s _ 200degD _ D _ 2V _ Xxyyis restored based on the combined component of 61 days GOCE satellite SGG data. The accuracy of the model is higher than that of ITG 2010 after 90 days. In this paper, the frequency domain fusion method based on FIR bandpass filter is studied, and an optimal method based on FIR band-pass filter to restore the earth gravity field model is proposed. Based on the 61 days GOCE satellite SGG data combination component, the 220-order gravity field model GOCES _ EGM2008 _ Vxxyyzzs is restored, and its precision is higher than that of the GOCE _ GCF _ S _ 2SP _ W _ S _ 1.
【学位授予单位】：解放军信息工程大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P223.0

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