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  • Received: Jul. 22, 2019

    Accepted: Sep. 20, 2019

    Posted: Dec. 10, 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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    Muhammad Usman, Usman Zabit, Olivier D. Bernal, Gulistan Raja. Blind identification of occurrence of multi-modality in laser-feedback-based self-mixing sensor[J]. Chinese Optics Letters, 2020, 18(1): 011201

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Chinese Optics Letters, Vol. 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

Abstract

Self-mixing interferometry (SMI) is an attractive sensing scheme that typically relies on mono-modal operation of an employed laser diode. However, change in laser modality can occur due to change in operating conditions. So, detection of occurrence of multi-modality in SMI signals is necessary to avoid erroneous metric measurements. Typically, processing of multi-modal SMI signals is a difficult task due to the diverse and complex nature of such signals. However, the proposed techniques can significantly ease this task by identifying the modal state of SMI signals with 100% success rate so that interferometric fringes can be correctly interpreted for metric sensing applications.

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