Real-Time Algorithm for Versatile Displacement Sensors Based on Self-Mixing Interferometry

Arriaga, Antonio Luna; Bony, Francis; Bosch, Thierry

doi:10.1109/jsen.2015.2478755

Cited by 48 publications

(32 citation statements)

References 13 publications

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“…When input SM signal convolves with impulse response of MF1 it gives high amplitudes where forward fringes occur in input SM signal on same time axis as shown in Figure 1b, whereas high amplitudes are obtained at the output of MF2 wherever backward fringes occur in input SM signal as shown in Figure 1c. However it is worth-mentioning that the shown output of MF2 is actually inverted as it is a requirement of phase unwrapping methods [4][5][6][7]. A nice performance of DBT method significantly degrades for a low SNR SM signal (presented in Figure 2a).…”

Section: Selection Of Mf Templatesmentioning

confidence: 99%

See 1 more Smart Citation

Detection of Self-Mixing Interferometric Fringes of a Laser Sensor Using Matched Filter

Akmal

Zabit

Bernal

et al. 2017

Proceedings of Eurosensors 2017, Paris, France, 3–6 September 2017

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Self-Mixing (SM) is a promising technique for sensing vibration, distance, velocity etc. To retrieve accurate metric measurements from an acquired SM signal, it is necessary to correctly detect all interferometric fringes. Traditionally, SM fringes are detected by a derivative based threshold (DBT) scheme. However, such a scheme gives correct results only for SM signals with high signalto-noise ratio (SNR) and moderate optical feedback regime. So, in this paper, a better fringe detection method, based on Matched Filter (MF), is proposed which has provided correct SM fringe detection even in case of low SNR and weak optical feedback regime. The proposed approach has resulted in fringe detection accuracy of 100% for a low SNR SM signal belonging to the weak feedback regime.

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Section: Selection Of Mf Templatesmentioning

confidence: 99%

“…For high precision displacement retrieval using SM sensor, one can one of many phase unwrapping methods (PUMs) [4][5][6][7]. These PUMs all are based on correct detection of all SM fringes contained in the acquired SM signal.…”

Section: Introductionmentioning

confidence: 99%

Detection of Self-Mixing Interferometric Fringes of a Laser Sensor Using Matched Filter

Akmal

Zabit

Bernal

et al. 2017

Proceedings of Eurosensors 2017, Paris, France, 3–6 September 2017

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“…Displacement and vibration sensing using SMI has been actively researched and many digital signal processing (DSP) algorithms (based on unwrapping of laser phase under optical feedback) have been published [9][10][11][12][13], providing measurement precision ranging from λ/8 to λ/50. However, in the presence of speckle [14], such high precision SMI displacement retrieval is greatly reduced.…”

Section: Introductionmentioning

confidence: 99%

“…The sharp discontinuity within such fringes was used for individual fringe detection while the quasi-linearity of such fringes with remote target motion was used to produce an unwrapped analog output signal. In spite of elegance of this method, presence of speckle drastically degrades the performance of this method (just as it does for digital unwrapping methods [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

All Analog Processing of Speckle Affected Self-Mixing Interferometric Signals

et al. 2017

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Self-mixing (SM) or optical feedback interferometry has been extensively used for high precision displacement and vibration sensing. However, presence of speckle can significantly degrade the SM interferometric signal and cause changes in signal amplitude as well as in the operating optical feedback regime, resulting in reduction in measurement precision. Previously, different advanced digital signal processing techniques have been proposed to undo the effects caused by speckle. However, their complex and computationally heavy nature inhibits their use for real-time, high bandwidth sensing applications. In this regard, an all analog signal processing algorithm has been presented in this paper which allows realtime processing of speckle affected SM signal while using standard analog circuits. Various simulations indicated that it is able to correctly process speckle affected SM signals having amplitude variation of at least one order and optical feedback parameter C reduction till 0.5. This proposed algorithm has been tested on experimentally acquired speckle affected SM signals and found capable of dealing with variations in optical feedback regime and amplitude modulation of SM signals, in accordance with simulation results. The developed hardware prototype circuit measures maximum displacement amplitude of 0.4 mm at maximum target velocity of 8 mm/s for an SM sensor with laser wavelength of 785 nm as long as C > 0.5. The proposed all analog processing could be a significant step towards a robust, low-cost, integrated, real-time SM displacement sensor.

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“…There has been continuous interest to propose various phase unwrapping methods, principally under stable optical feedback coupling, providing varying degrees of measurement precision ranging from λ/8 to λ/40 [5]- [10]. However, such results can never be attained unless individual fringe detection is correctly carried out.…”

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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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Real-Time Algorithm for Versatile Displacement Sensors Based on Self-Mixing Interferometry

Cited by 48 publications

References 13 publications

Detection of Self-Mixing Interferometric Fringes of a Laser Sensor Using Matched Filter

Detection of Self-Mixing Interferometric Fringes of a Laser Sensor Using Matched Filter

All Analog Processing of Speckle Affected Self-Mixing Interferometric Signals

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

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