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An Improved Data Processing Algorithm for Spectrally Resolved Interferometry Using a Femtosecond Laser

Sensors(2024)SCI 3区

Tohoku Univ

Cited 1|Views5
Abstract
Two algorithms of data processing are proposed to shorten the unmeasurable dead-zone close to the zero-position of measurement, i.e., the minimum working distance of a dispersive interferometer using a femtosecond laser, which is a critical issue in millimeter-order short-range absolute distance measurement. After demonstrating the limitation of the conventional data processing algorithm, the principles of the proposed algorithms, namely the spectral fringe algorithm and the combined algorithm that combines the spectral fringe algorithm with the excess fraction method, are presented, together with simulation results for demonstrating the possibility of the proposed algorithms for shortening the dead-zone with high accuracy. An experimental setup of a dispersive interferometer is also constructed for implementing the proposed data processing algorithms over spectral interference signals. Experimental results demonstrate that the dead-zone using the proposed algorithms can be as small as half of that of the conventional algorithm while measurement accuracy can be further improved using the combined algorithm.
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absolute distance measurement,spectrally resolved interferometry,inverse Fourier transform
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要点】:论文提出两种数据处理算法,通过减少测量死区,提高使用飞秒激光的色散干涉仪在毫米级短距离绝对测量的精度。

方法】:作者提出光谱条纹算法和结合光谱条纹算法与过量分数法的组合算法,以缩短干涉仪在零位置附近的不可测死区。

实验】:通过构建色散干涉仪实验装置,并使用光谱干涉信号实现提出的数据处理算法,实验结果显示,使用所提算法的死区可减少至传统算法的一半,同时组合算法进一步提高了测量精度。数据集名称未在文中提及。