首页> 外文学位 >RECOVERY OF 1 DEGREEE-MEAN ANOMALIES IN A LOCAL REGION FROM A LOW-LOW SATELLITE TO SATELLITE TRACKING MISSION (COLLOCATION, LEAST SQUARES ADJUSTMENT, FOURIER SERIES, GEOPOTENTIAL RESEARCH MISSION).
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RECOVERY OF 1 DEGREEE-MEAN ANOMALIES IN A LOCAL REGION FROM A LOW-LOW SATELLITE TO SATELLITE TRACKING MISSION (COLLOCATION, LEAST SQUARES ADJUSTMENT, FOURIER SERIES, GEOPOTENTIAL RESEARCH MISSION).

机译:从低-低卫星到卫星跟踪任务(聚集,最小二乘平差,傅里叶级数,地势研究任务)的局部区域中的1个平均异常的恢复。

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摘要

A simulation study was used to estimate the accuracy of 1(DEGREES)-mean anomalies which could be recovered from the Geopotential Research Mission (GRM) data. The earth's gravity field was defined by a set of potential coefficients of Rapp (1981) to degree 180. Line of sight accelerations were used as measurements in the recovery. The line of sight acceleration can be expressed in terms of potential coefficients, which makes data generation at a regular grid interval very efficient. An altitude of 160 kilometers above a spherical earth and a separation of 200 kilometers were used in the data simulation. Three methods were used in the recovery: the least squares collocation method; a numerical integration procedure proposed by Rummel (1982) or the Rummel procedure; and the least squares adjustment. In the least squares adjustment, a Fourier series of fictitious surface densities was used to represent a local gravity field; the Fourier coefficients were the unknowns. The Fourier coefficients were then used to compute a gravity anomaly in a very simple way. Three techniques of least squares adjustment were employed: the method of observation equations; the method of observation equations with weighted parameters; and the singular value decomposition method. After 1(DEGREES)-mean anomalies in a selected area were recovered by these estimation methods, they were compared with the true values (directly computed from the 180-field) to obtain the accuracy estimate. The result of the Rummel procedure was unacceptable because the fundamental assumption of the procedure, an isotropic functional relationship between the measurement and the unknown, was not fulfilled in the low-low satellite to satellite tracking problem. The results of the least squares collocation and the least squares adjustment indicated that an accuracy of 2.5 milligals for 1(DEGREES)-mean anomalies was possible in an area of the smooth gravity field. The accuracy of the recovery over the rough gravity field was about 30 milligals.
机译:使用模拟研究来估计1(平均)异常的准确性,该异常可从“地电位研究任务”(GRM)数据中恢复。地球重力场由一组拉普(1981)到180度的潜在系数定义。视线加速度被用作恢复中的量度。视线加速度可以用潜在系数表示,这使得以规则的网格间隔进行数据生成非常有效。在数据模拟中,使用了球形地球上方160公里的高度和200公里的间隔。恢复中使用了三种方法:最小二乘配置法;最小二乘配置法。 Rummel(1982)提出的数值积分程序或Rummel程序;最小二乘平差在最小二乘平差中,使用傅里叶级数的虚拟表面密度表示局部重力场。傅立叶系数是未知数。然后使用傅立叶系数以一种非常简单的方式来计算重力异常。最小二乘平差的三种技术被采用:观测方程法;具有加权参数的观测方程的方法;以及奇异值分解方法。通过这些估计方法恢复所选区域中的1(平均)均值异常后,将它们与真实值(直接从180场计算得出)进行比较,以获得准确性估计值。 Rummel程序的结果是不可接受的,因为该程序的基本假设(测量值与未知数之间的各向同性函数关系)在低-低卫星到卫星跟踪问题中得不到满足。最小二乘搭配和最小二乘平差的结果表明,在平滑重力场的区域中,对于1(平均)异常,精度为2.5毫克是可能的。在粗重力场上的恢复精度约为30毫加仑。

著录项

  • 作者

    WICHIENCHAROEN, CHUGIAT.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Geodesy.
  • 学位 Ph.D.
  • 年度 1985
  • 页码 138 p.
  • 总页数 138
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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