Open AccessLaser frequency scanning interferometry based on estimating signal parameters via rotational invariance technique
Author(s) -
Xu Jing-Xiang,
Ming Kong,
Xinke Xu
Publication year - 2021
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.70.20201135
Subject(s) - fourier transform , interferometry , optics , rotational invariance , signal (programming language) , beat (acoustics) , short time fourier transform , fractional fourier transform , non uniform discrete fourier transform , linearity , frequency modulation , algorithm , computer science , physics , bandwidth (computing) , fourier analysis , telecommunications , programming language , quantum mechanics
The laser frequency scanning interferometry, as a non-contact method, has non-ranging blind zone and achieves multi-target testing in a single measurement. The beat frequency of target can be extracted by Fourier transform, and then the distance can be solved. However, due to the limitation of laser frequency modulation bandwidth, the resolution of target obtained by Fourier transform is limited to the inherent resolution. In order to solve this problem, in this paper we propose to use the estimating signal parameter via rotational invariance technique (ESPRIT) to perform spectrum analysis on the measured signal. In the experiment, the resampling method is adopted to correct the non-linearity of the measured signal beat frequency, and then the ESPRIT algorithm is used to obtain the target distance. The results show that the Fourier transform algorithm cannot distinguish the target signal from the frequencies of adjacent target, but the ESPRIT algorithm can do. The thickness of the measured target is 2.08 mm. This provides ideas for measuring, such as damage point in the proximity of the fiber, height of thin step, or small hole.