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Demodulation and uncertainty evaluation of quadrature interferometer signals when the errors are autoregressive

机译:误差为自回归时正交干涉仪信号的解调和不确定性评估

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Quadrature homodyne interferometers are frequently used in dimensional metrology. Their measurement signals exhibit offsets, unequal amplitudes and phase difference. Frequently, there exists a significant component of the measurement noise common to both (Sine and Cosine) quadrature signals, such that the noise of quadrature signals is correlated. Presented is a method for estimation the unknown correlation coefficient from the measured data, provided that the Sine and Cosine signal noise follow particular autoregressive process (here we consider the AR(1) process). The estimate of the correlation coefficient and of the parameters of the noise autoregressive process are utilized in the iterative algorithm for demodulation and evaluation of the amplitude noise related uncertainty contribution of correlated quadrature interferometer signals, originally proposed by Koning, Wimmer and Witkovsky in [1] for uncorrelated interferometer signals.
机译:正交零差干涉仪经常用于尺寸计量。它们的测量信号显示出偏移,不相等的幅度和相位差。通常,两个(正弦和余弦)正交信号都有一个很大的测量噪声分量,因此正交信号的噪声是相关的。如果正弦和余弦信号噪声遵循特定的自回归过程(此处考虑了AR(1)过程),则提出一种从测量数据估计未知相关系数的方法。 Koning,Wimmer和Witkovsky最初在[1]中提出的迭代算法利用相关系数的估计和噪声自回归过程的参数进行迭代算法,以解调和评估相关正交干涉仪信号的振幅噪声相关不确定性贡献。用于不相关的干涉仪信号。

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