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Enhanced OFDR strain demodulation method based on optimized nearest neighbor sliding window threshold.

Ling Yang, Tong Xing, Mengyuan Huo

    Optics Express
    |February 20, 2026
    PubMed
    Summary
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    A new demodulation method uses optimized thresholds to accurately measure wide-ranging strains in fiber optic sensors. This technique enhances reliability and spatial resolution for advanced sensing applications.

    Area of Science:

    • Optics and Photonics
    • Materials Science
    • Signal Processing

    Background:

    • Cross-correlation demodulation is crucial for distributed fiber optic sensing.
    • Traditional methods struggle with noise and limited dynamic strain ranges.
    • Accurate strain measurement is vital for structural health monitoring and various engineering applications.

    Purpose of the Study:

    • To develop an advanced demodulation method for enhanced accuracy and reliability in wide-strain measurements.
    • To improve the performance of cross-correlation demodulation in distributed fiber optic sensing.
    • To address the challenge of measuring strain over large dynamic ranges with high spatial resolution.

    Main Methods:

    • A novel demodulation technique employing optimized nearest neighbor sliding window thresholds.

    Related Experiment Videos

  • Dynamic removal of noise peaks to improve signal quality.
  • Implementation on a 17-meter sensing fiber for validation.
  • Main Results:

    • Achieved a high spatial resolution of 2.48 mm.
    • Demonstrated a wide strain measurement range of 10,000 µε.
    • Significantly improved demodulation accuracy and robustness compared to traditional methods.
    • Maintained computational efficiency and high demodulation speed.

    Conclusions:

    • The proposed method offers superior accuracy and robustness for wide-strain measurements.
    • It provides a scalable and versatile solution for high-performance distributed fiber optic sensing.
    • This advancement addresses a critical challenge in measuring strain across large dynamic ranges.