Characterization of a self-mixing displacement sensor under moderate feedback

Bes, C.; Bosch, Thierry; Plantier, Guy; Bony, Francis

doi:10.1117/1.2337575

Cited by 12 publications

(5 citation statements)

References 5 publications

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“…x F (t) = 2π D (t) λ F (t) /2 (2) with D (t) the target displacement. The emission wavelength subject to feedback λ F (t) is intrinsically encompassed in the phase equation [5]:…”

Section: Introductionmentioning

confidence: 99%

“…In this context, a robust SM fringe detection scheme (ideally independent of SM feedback regime, additive white noise, and speckle effect causing amplitude modulation of signal) is necessary in order to perform the target displacement doi: http://dx.doi.org/10.1109/ICSENS.2015.7370375 reconstruction because most of the signal processing techniques rely on it as a first step [4,5]. Usually, the moderate optical feedback regime is thus sought for displacement sensing as its supposedly straight-forward signal shape [5] leads to simplified signal processing. However such a regime cannot always be obtained.…”

Section: Introductionmentioning

confidence: 99%

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Robust fringe detection based on bi-wavelet transform for self-mixing displacement sensor

et al. 2015

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A novel signal processing method based on custom-made Wavelet Transform (WT) is presented for robust detection of fringes contained in the interferometric signal of Self-Mixing (SM) laser diode sensors. It enables the measurement of arbitrarily-shaped vibrations even in the corruptive presence of speckle. Our algorithm is based on the pattern recognition capability of the customized WT for identifying SM fringes. Once the fringes have been correctly detected, phase unwrapping methods can be applied to retrieve the complete instantaneous phase of the SM signals. Here, the novelty consists in using two distinct mother wavelets Ψ r (t) and Ψ d (t) particularly designed to distinguish SM patterns as well as the displacement direction. The peaks, i.e. maxima of WT, then allow the detection of the fringes.

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“…x F (t) = 2π D (t) λ F (t) /2 (2) with D (t) the target displacement. The emission wavelength subject to feedback λ F (t) is intrinsically encompassed in the phase equation [5]:…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust fringe detection based on bi-wavelet transform for self-mixing displacement sensor

et al. 2015

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“…Various mother wavelets can be used to analyze SM signals such as the symlet and Daubechies wavelets. However, different results will be obtained depending on the mother wavelet used [23].…”

Section: B Wavelet Transform and Non-stationary Signalsmentioning

confidence: 99%

“…Nevertheless, it cannot inherently determine the target direction and sub-wavelength displacements could be wrongly interpreted. Wavelet Transfrom (WT) [23] was also shown to be an efficient way to analyze SM signals as non-stationary signals. However, such approaches were hitherto based on available mother wavelets.…”

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confidence: 99%

Robust Detection of Non-Regular Interferometric Fringes From a Self-Mixing Displacement Sensor Using Bi-Wavelet Transform

et al. 2016

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Abstract-An innovative signal processing method based on custom-made wavelet transform (WT) is presented for robust detection of fringes contained in the interferometric signal of Self-Mixing (SM) laser diode sensors. It enables the measurement of arbitrarily-shaped vibrations even in the corruptive presence of speckle. Our algorithm is based on the pattern recognition capability of bespoke WTs for detecting SM fringes. Once the fringes have been correctly detected, phase unwrapping methods can be applied to retrieve the complete instantaneous phase of the SM signals. Here, the novelty consists in using two distinct mother wavelets Ψr(t) and Ψ d (t) specifically designed to distinguish SM patterns as well as the displacement direction. The peaks, i.e. maxima modulus of WT, then allow the detection of the fringes. Permanent repository link

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“…[17], a precalculated threshold value is used for transition detection, but this method works well only for a specified regime and may cause erroneous detection as soon as the SM regime changes or in the presence of noisy signals [30] . Wavelet transform was then employed to improve the robustness of this detection method [31] . Moreover, transition detection has been performed through computations of the Holder exponent with the use of differential evolution algorithms [32] .…”

mentioning

confidence: 99%

Piece-wise transition detection algorithm for a self-mixing displacement sensor

Huang

Sun

2013

中国光学快报

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A piece-wise transition detection algorithm that performs displacement measurements for self-mixing sensors is developed. The algorithm can correctly detect self-mixing fringes at a low signal-to-noise ratio in the presence of disturbances without filtering. Displacement reconstructions by the phase unwrapping method based on this algorithm are experimentally validated, with laser subject to the moderate feedback regime.

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Characterization of a self-mixing displacement sensor under moderate feedback

Cited by 12 publications

References 5 publications

Robust fringe detection based on bi-wavelet transform for self-mixing displacement sensor

Robust fringe detection based on bi-wavelet transform for self-mixing displacement sensor

Robust Detection of Non-Regular Interferometric Fringes From a Self-Mixing Displacement Sensor Using Bi-Wavelet Transform

Piece-wise transition detection algorithm for a self-mixing displacement sensor

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