Improved self-mixing model reflecting speckle

Ho, Kwang-Myong; Choe, Song-Ah; Kim, Chol-Hyon; Yun, Tu-Hen; Ri, Chol-Man; Ju, Won-Song

doi:10.1007/s00340-024-08179-z

Appl. Phys. B

2024

DOI: 10.1007/s00340-024-08179-z

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Improved self-mixing model reflecting speckle

Kwang-Myong Ho,

Song-Ah Choe,

Chol-Hyon Kim

et al.

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Elimination of hand-induced parasitic vibration in self-mixing displacement measurement based on FFT

Kim,

Kim

et al. 2024

Appl. Opt.

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A method of removing hand-induced parasitic vibration is presented based on FFT for a handheld self-mixing (SM) displacement sensor measuring mechanical vibration. Parasitic vibration has been measured by and large with solid-state accelerometers (SSAs) and, in doing so, removed. Such methods increase the complexity of the device and the cost since they need additional hardware and a complicated algorithm for elimination of parasitic vibration. The proposed method can be applied to all cases where the frequency of a measurement object is different by only a few hertz from the main frequency of the parasitic vibration as well as the case of hand-induced parasitic vibration. The error of displacement retrieval of the method was found to be less than 30 nm. This method will be a great help to the development of handheld portable SM displacement sensors.

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Elimination of hand-induced parasitic vibration in self-mixing displacement measurement based on FFT

Kim,

Kim

et al. 2024

Appl. Opt.

View full text Add to dashboard Cite

show abstract

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Improved self-mixing model reflecting speckle

Cited by 1 publication

References 20 publications

Elimination of hand-induced parasitic vibration in self-mixing displacement measurement based on FFT

Elimination of hand-induced parasitic vibration in self-mixing displacement measurement based on FFT

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