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A Wavelet Derivative Spectrum Length Method of TFBG Sensor Demodulation.

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This study enhances refractive index measurement sensitivity in tilted fibre Bragg grating (TFBG) sensors. A novel wavelet transform method improves spectral length algorithms, offering better resolution and noise reduction for optical signal analysis.

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Area of Science:

  • Optoelectronics
  • Photonics
  • Sensor Technology

Background:

  • Tilted fibre Bragg gratings (TFBGs) offer high sensitivity for refractive index measurements.
  • Accurate metrological parameters in TFBG sensing require effective spectrum demodulation methods.
  • Existing spectral length algorithms can be limited by noise and resolution.

Purpose of the Study:

  • To improve the spectral length algorithm for enhanced spectrum demodulation in TFBG sensors.
  • To introduce a novel method utilizing wavelet transform for numerical derivative approximation.
  • To enhance the resolution and noise immunity of refractive index measurements.

Main Methods:

  • Implementation of a wavelet transform for approximating the numerical derivative of spectral data.
  • Treating the spectral length parameter as the sum of derivative filter responses.
  • Utilizing the scale parameter of the wavelet transform for adjustable smoothing and noise filtering.

Main Results:

  • The proposed wavelet transform method effectively approximates the spectral length, reducing high-frequency noise.
  • This approach provides a simple way to control smoothing by adjusting the wavelet scale parameter.
  • Experimental analysis demonstrates a linear method with superior resolution compared to the contour length algorithm, even at low signal-to-noise ratios.

Conclusions:

  • Wavelet transform-based spectral length approximation offers a robust and high-resolution demodulation technique for TFBG sensors.
  • The method enhances measurement accuracy and reliability, particularly in noisy optical signal environments.
  • This advancement contributes to the development of more precise refractive index sensing technologies.