Chinese Optics Letters, Volume. 18, Issue 1, 011201(2020)

Blind identification of occurrence of multi-modality in laser-feedback-based self-mixing sensor

Muhammad Usman1, Usman Zabit2、*, Olivier D. Bernal3, and Gulistan Raja4
Author Affiliations
  • 1Namal Institute, Mianwali 42250, Pakistan
  • 2National University of Sciences & Technology (NUST), Islamabad 44000, Pakistan
  • 3Univ de Toulouse, INP, LAAS-CNRS, Toulouse F-31400, France
  • 4University of Engineering & Technology, Taxila 47080, Pakistan
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    Figures & Tables(12)
    Experimental (a), (b) multi- and (c) mono-modal SM signals acquired under different OF coupling and operating current conditions based on the HL6501MG LD (Ith=45 mA) with Ioper of (a), (c) 78 mA and (b) 82 mA.
    Flowchart of customized maxima detection technique variations (varp-diff).
    Flowchart of the variance-based technique (VBT).
    Steps of the kurtosis-based technique (KBT), skewness-based technique (SBT), and skewness–kurtosis-based technique (SKBT).
    Evolution of parameters with respect to C and target vibration amplitude for noiseless mono-modal signal (a) varp-diff, (b) SMkur, (c) SMskw, and (d) |SMskur|.
    Simulated mono-modal SM signals with SNRs of 10 dB and 40 dB in the case of (a) weak feedback regime (C=0.1) and (b) moderate feedback regime (C=4).
    Correctly identified experimental mono-modal SM signals.
    Correctly identified experimental (a) bi-modal and (b) tri-modal SM signals.
    • Table 1. Values of Statistical Parameters of Simulated Normalized Mono-Modal SM Signals for Varying SNR under Weak-Feedback Regime for C=0.1 and Amplitude  of  5λ0

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      Table 1. Values of Statistical Parameters of Simulated Normalized Mono-Modal SM Signals for Varying SNR under Weak-Feedback Regime for C=0.1 and Amplitude  of  5λ0

      Techs.Feats.SNR (10 dB)SNR (20 dB)SNR (30 dB)SNR (40 dB)
      VBTvarpdiff0.0150.0120.0120.008
      KBTSMkur1.7181.4521.4331.429
      SBTSMskw0.1490.1440.1420.141
      SKBT|SMskur|11.45810.0539.8219.510
    • Table 2. Values of Statistical Parameters of Simulated Normalized Mono-Modal SM Signals for Varying SNRs under Moderate-Feedback Regime (C=4) and Amplitude  of  5λ0

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      Table 2. Values of Statistical Parameters of Simulated Normalized Mono-Modal SM Signals for Varying SNRs under Moderate-Feedback Regime (C=4) and Amplitude  of  5λ0

      Techs.Feats.SNR (10 dB)SNR (20 dB)SNR (30 dB)SNR (40 dB)
      VBTvarpdiff0.0160.0110.0070.006
      KBTSMkur2.2672.2532.0992.007
      SBTSMskw−0.345−0.340−0.326−0.320
      SKBT|SMskur|6.7776.6276.1626.103
    • Table 3. Extracted Threshold Values of Proposed Statistical Parameters Based on Simulations on Mono-Modal SM Signals under Varying Optical Feedback, Vibration Amplitude, and Signal to Noise Ratio

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      Table 3. Extracted Threshold Values of Proposed Statistical Parameters Based on Simulations on Mono-Modal SM Signals under Varying Optical Feedback, Vibration Amplitude, and Signal to Noise Ratio

       VBTKBTSBTSKBT
      FeaturesvarpdiffSMkurSMskw|SMskur|
      Threshold values0.0172.70.25
    • Table 4. Performance of Proposed Techniques by Testing Experimentally Acquired Dataset of 60 SM Signals

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      Table 4. Performance of Proposed Techniques by Testing Experimentally Acquired Dataset of 60 SM Signals

      Techs.Nmon/NmulNmon-TiNmul-TiNmon-FiNmul-FiNto-TiRs/%
      VBT30/303021905185
      KBT30/302421964575
      SBT30/302926415591
      SKBT30/302630045693
      MV30/30303000100100
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    Muhammad Usman, Usman Zabit, Olivier D. Bernal, Gulistan Raja, "Blind identification of occurrence of multi-modality in laser-feedback-based self-mixing sensor," Chin.Opt.Lett. 18, 011201 (2020)

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    Paper Information

    Category: Optical Sensing, Measurements, and Metrology

    Received: Jul. 22, 2019

    Accepted: Sep. 20, 2019

    Published Online: Dec. 10, 2019

    The Author Email: Usman Zabit (usman.zabit@seecs.nust.edu.pk)

    DOI:10.3788/COL202018.011201

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