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Updated: Jan 17, 2026

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

Published on: January 7, 2019

Highly robust demodulation algorithm for fiber optic interferometric sensors.

Jie Yao, Xiaopeng Liu, Xuqiang Wu

|September 23, 2025

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.

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Last Updated: Jan 17, 2026

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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

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Published on: March 20, 2017

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.