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Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes
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    This study introduces a simple, high-resolution method for displacement sensing using self-mixing interferometry (SMI). The technique avoids complex parameter estimation and signal normalization, enhancing real-time performance and reducing costs for displacement sensors.

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    Area of Science:

    • Optics and Photonics
    • Metrology
    • Sensor Technology

    Background:

    • Self-mixing interferometry (SMI) is a technique for displacement sensing.
    • Current methods for displacement reconstruction in SMI are time-consuming and complex due to parameter estimation and signal normalization.
    • These limitations hinder the real-time and low-cost application of SMI displacement sensors.

    Purpose of the Study:

    • To present a simplified method for displacement retrieval using self-mixing signals (SMSs).
    • To overcome the challenges of parameter estimation and normalization in SMI.
    • To improve the real-time capability, reliability, and resolution of SMI displacement sensors.

    Main Methods:

    • A novel displacement retrieval method based on individual fringe scaling in SMSs.
    • The method is inherently robust against speckle noise.
    • Eliminates the need for complex parameter estimation and SMS normalization.

    Main Results:

    • Achieved high-resolution displacement measurement.
    • Significantly simplified the displacement reconstruction process.
    • Demonstrated a speckle noise-proof approach.

    Conclusions:

    • The proposed simple method offers a significant advancement for SMI displacement sensors.
    • It contributes to lowering sensor costs and enhancing performance.
    • Enables more reliable and higher-resolution real-time displacement measurements.