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Propagation of error analysis in a total least-squares estimator in absolute gravimetry

机译:绝对重量法中总最小二乘估计器中误差分析的传播

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摘要

High-precision measurements often resort to least-squares estimation via observation models in which the quantity of interest is one of the unknowns. The case when both the dependent and independent variables of the model are stochastic is of particular interest. An example is absolute gravimetry, where the orbit of a test mass is tracked by a laser interferometer and is reconstructed by the least-squares method. In orbit reconstruction, space and time enter symmetrically and both time and position are stochastic. We present orbit reconstruction as a total least-squares problem to establish an error model for the propagation of tracking errors. We also give an asymptotic formula expressing the relevant contribution to the uncertainty of gravity determination.
机译:高精度测量通常通过观察模型求最小二乘估计,其中关注的数量是未知数之一。当模型的因变量和自变量都是随机的时,这种情况尤其令人关注。一个例子是绝对重量分析法,其中测试质量的轨道由激光干涉仪跟踪,并通过最小二乘法重建。在轨道重建中,空间和时间对称地进入,时间和位置都是随机的。我们提出将轨道重建作为总最小二乘问题,以建立用于跟踪误差传播的误差模型。我们还给出了一个渐近公式,表示对重力确定的不确定性的相关贡献。

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