Elimination of parasitic vibration presents itself as a nuisance for the industrial application of self-mixing sensors. The parasitic vibration is the vibration of the self-mixing sensor itself, which has an evil effect on the measurement accuracy. Although the elimination of the parasitic vibration is very important, there have not been enough studies on it.
A solid-state accelerometer (SSA) is often used for the removal of parasitic vibration. The SSA coupled with the SM sensor measures the acceleration of the parasitic vibration and it is double integrated to obtain the displacement, which is subtracted from the displacement reconstructed from the SM sensor to extract true target motion. The fatal shortcoming of the elimination of parasitic vibration based on SSAs is that the error of the SSA has a direct effect on the measurement. The error of the SSA keeps on being accumulated with time in a real-time displacement measurement in particular.
Kim Chol Hyon, a section head at the Faculty of Physical Engineering, has proposed a method of eliminating the hand-induced parasitic vibration based on FFT.
His method can provide the displacement reconstruction error less than 30nm by taking a proper cutoff frequency and data length and it can be applied to the measurement of mechanic vibration of 10 to 1 000Hz. Besides, this method can be applied to all cases where there is some difference between the main frequency of parasitic vibration and the frequency of the measured object.
For more information, please refer to his paper “Elimination of hand-induced parasitic vibration in self-mixing displacement measurement based on FFT” in “Applied Optics” (SCI).
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