7 May 2013 Self-mixing interference signal analysis based on Fourier transform method for vibration measurement
Zhen Huang, Xiaogang Sun, Xiaogang Sun, Chengwei Li
Author Affiliations +
Abstract
An algorithm for analyzing a vibrating target by a dominant harmonic order determination based on Fourier transform in a self-mixing system over wide optical feedback regimes (very weak, weak, and moderate regimes) is presented. The basic frequency of a self-mixing interference signal is used to determine the frequency of vibration, and the dominant harmonic order is proportional to the amplitude of vibration. The algorithm also allows calculation of the correct target movement at extremely low signal-to-noise ratios. The validity of the proposed algorithm was demonstrated by means of simulated signals and confirmed by several experimental measurements. The maximum error of the amplitude is about 0.16 μm and the maximum error of the frequency is about 2.5%. It can be used to demodulate the microscopic vibration of a remote target.
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2013/$25.00 © 2013 SPIE
Zhen Huang, Xiaogang Sun, Xiaogang Sun, and Chengwei Li "Self-mixing interference signal analysis based on Fourier transform method for vibration measurement," Optical Engineering 52(5), 053601 (7 May 2013). https://doi.org/10.1117/1.OE.52.5.053601
Published: 7 May 2013
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Cited by 26 scholarly publications.
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KEYWORDS
Fourier transforms

Detection and tracking algorithms

Signal analysis

Signal to noise ratio

Vibrometry

Sun

Lithium

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