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Error analysis for satellite gravity field determination based on two-dimensional Fourier methods

机译:基于maTLaB的卫星重力场确定误差分析   二维傅立叶方法

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摘要

The time-wise and space-wise approaches are generally applied to dataprocessing and error analysis for satellite gravimetry missions. But both theapproaches, which are based on least-squares collocation, address the wholeeffect of measurement errors and estimate the resolution of gravity fieldmodels mainly from a numerical point of indirect view. Moreover, requirementfor higher accuracy and resolution gravity field models could make thecomputation more difficult, and serious numerical instabilities arise. In orderto overcome the problems, this study focuses on constructing a directrelationship between power spectral density of the satellite gravimetrymeasurements and coefficients of the Earth's gravity potential. Based ontwo-dimensional Fourier transform, the relationship is analytically concluded.By taking advantage of the analytical expression, it is efficient and distinctfor parameter estimation and error analysis of missions. From the relationshipand the simulations, it is analytically confirmed that the low-frequency noiseaffects the gravity field recovery in all degrees for the instance of satellitegradiometer recovery mission. Furthermore, some other results and suggestionsare also described.
机译:时空方法通常用于卫星重力飞行任务的数据处理和误差分析。但是,这两种基于最小二乘配置的方法都解决了测量误差的整体影响,并且主要从间接的角度看了重力场模型的分辨率。此外,对更高精度和分辨率的重力场模型的要求可能会使计算更加困难,并且会出现严重的数值不稳定性。为了克服这些问题,本研究着重于建立卫星重力测量的功率谱密度与地球重力势系数之间的直接关系。基于二维傅立叶变换,对该关系进行了解析性总结。利用解析表达式,该关系式在参数估计和任务误差分析中是有效而独特的。通过关系和仿真,可以分析地确认,低频噪声对卫星梯度仪恢复任务在各个程度上都会影响重力场的恢复。此外,还描述了一些其他结果和建议。

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