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首页> 外文期刊>Measurement Science & Technology >Ellipse fitting by nonlinear constraints to demodulate quadrature homodyne interferometer signals and to determine the statistical uncertainty of the interferometric phase
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Ellipse fitting by nonlinear constraints to demodulate quadrature homodyne interferometer signals and to determine the statistical uncertainty of the interferometric phase

机译:通过非线性约束进行椭圆拟合,以解调正交零差干涉仪信号并确定干涉相的统计不确定性

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摘要

Optical interferometers are widely used in dimensional metrology applications. Among them are many quadrature homodyne interferometers. These exhibit two sinusoidal interference signals shifted, in the ideal case, by 90° to allow a direction sensitive detection of the motion responsible for the actual phase change. But practically encountered signals exhibit additional offsets, unequal amplitudes and a phase shift that differs from 90°. In order to demodulate the interference signals the so called Heydemann correction is used in almost all cases, i.e. an ellipse is fitted to both signals simultaneously to obtain the offsets, amplitude and the phase lag. Such methods are typically based on a simplified least squares fit that leads to a system of linear equations, which can be solved directly in one step. Although many papers related to this subject have been published already only a few of them consider the uncertainties related to this demodulation scheme. In this paper we propose a new method for fitting the ellipse, based on minimization of the geometric distance between the measured and fitted signal values, which provides locally best linear unbiased estimators (BLUEs) of the unknown model parameters, and simultaneously also estimates of the related statistical uncertainties, including the uncertainties of estimated phases and/or displacements.
机译:光学干涉仪广泛用于尺寸计量应用。其中有许多正交零差干涉仪。在理想情况下,它们呈现出两个正弦波干扰信号,偏移了90°,以便对导致实际相位变化的运动进行方向敏感的检测。但是实际遇到的信号表现出额外的偏移,不相等的幅度和不同于90°的相移。为了解调干扰信号,几乎在所有情况下都使用所谓的海德曼校正,即,将椭圆形同时安装到两个信号上以获得偏移,幅度和相位滞后。此类方法通常基于简化的最小二乘拟合,从而导致线性方程组,可以直接在一个步骤中求解。尽管已经发表了许多与该主题有关的论文,但只有少数论文考虑了与该解调方案有关的不确定性。在本文中,我们基于最小化被测信号和被拟合信号值之间的几何距离,提出了一种用于拟合椭圆的新方法,该方法提供了未知模型参数的局部最佳线性无偏估计量(BLUE),同时还估计了相关的统计不确定性,包括估计的相位和/或位移的不确定性。

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