Highly robust demodulation algorithm for fiber optic interferometric sensors
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Summary
This summary is machine-generated.A new phase demodulation algorithm for fiber-optic sensing systems enhances robustness and disturbance resistance. This spectral decomposition method improves linearity and signal quality, even in challenging environments.
Area Of Science
- Optics and Photonics
- Signal Processing
- Fiber Optic Sensors
Background
- Interferometric fiber-optic sensing systems require robust phase demodulation.
- Traditional ellipse fitting algorithms face limitations in noisy or disturbed environments.
Purpose Of The Study
- To develop a novel phase demodulation algorithm for 3x3 coupler-based fiber-optic sensing.
- To enhance robustness and disturbance resistance in phase demodulation.
Main Methods
- Incorporation of spectral decomposition into a 3D ellipsoid fitting algorithm.
- Utilizing the least squares method for ellipsoid parameter estimation.
- Employing spectral decomposition for principal axis calculation and ATAN algorithm with phase unwrapping for demodulation.
Main Results
- Achieved linearity of 99.98%, outperforming traditional methods.
- Maintained a total harmonic distortion (THD) below 1% under significant disturbance (321 rad).
- Improved signal-to-noise and distortion ratio (SINAD) by approximately 13.8 dB.
Conclusions
- The proposed algorithm offers superior demodulation performance and robustness in fiber-optic sensing.
- Spectral decomposition integrated with 3D ellipsoid fitting provides enhanced accuracy and stability.
- Validated effectiveness in diverse and challenging experimental conditions.
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