2016
DOI: 10.1016/j.ijleo.2016.03.066
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Improved transition detection algorithm for a self-mixing displacement sensor

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Cited by 11 publications
(5 citation statements)
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“…For C > 4.6, the SMI fringes become sawtooth-like and exhibit hysteresis. For the moderate feedback regime, the piecewise transition detection algorithm was proposed on the basis of SMI signal differentials [9], [18], [25]. However, identifying the direction of the target directly from the SMI signal in the weak feedback regime is difficult because the signals are nearly sinusoidal.…”
Section: Laser Self-mixing Interference Effectmentioning
confidence: 99%
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“…For C > 4.6, the SMI fringes become sawtooth-like and exhibit hysteresis. For the moderate feedback regime, the piecewise transition detection algorithm was proposed on the basis of SMI signal differentials [9], [18], [25]. However, identifying the direction of the target directly from the SMI signal in the weak feedback regime is difficult because the signals are nearly sinusoidal.…”
Section: Laser Self-mixing Interference Effectmentioning
confidence: 99%
“…where λ 0 represents the initial wavelength of the laser and λ F represents the wavelength with optical feedback. Moreover, given the weak feedback regime [9] φ 0 (t) ≈ φ F (t), and according to (3), the external target vibration expression can be written as…”
Section: Laser Self-mixing Interference Effectmentioning
confidence: 99%
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“…Self-mixing interference (SMI) is a phenomenon in which part of the emitted light is reflected or scattered by the external object and re-enters the laser cavity, resulting in fluctuations in the power and frequency of the laser. Owing to its advantages of compactness, intrinsic simplicity, and self-alignment, SMI has become a new kind of sensing technology and is extensively used in measuring displacement [1][2][3], velocity [4,5], distance [6,7], vibrations [8][9][10], 3D imaging, biomedical sensing [11] and other occasions [12]. In 1999, K.Özdemir firstly proposed a method for measuring velocity and length of moving surfaces simultaneously by a speckle velocimeter [13].…”
Section: Introductionmentioning
confidence: 99%