Research on High-Precision PGC Demodulation Method for Fabry-Perot Sensors Based on Shifted Sampling Pre-Calibration

To address the issues of quadrature component attenuation and signal-to-noise ratio (SNR) degradation caused by carrier phase delay in Phase-Generated Carrier (PGC) demodulation, this paper proposes a phase delay compensation method based on sampling-point shift pre-calibration. By establishing a discrete phase offset model, we derive the mathematical relationship between sampling point shift and carrier cycle duration, and introduce a compensation mechanism that adjusts the starting point of the sampling sequence to achieve carrier phase pre-alignment. Theoretical analysis demonstrates that this method restricts the residual phase error to within Δ<i>θ</i><sub>max</sub> = π<i>f</i><sub>0</sub>/<i>f</i><sub>s</sub>, thereby fundamentally avoiding the denominator-zero problem inherent in traditional compensation algorithms when <i>θ</i> approaches 45°. Experimental validation using an Extrinsic Fabry-Perot Interferometric (EFPI) ultrasonic sensor shows that, at a sampling rate of 10 MS/s, the proposed pre-alignment algorithm improves the minimum demodulation SNR by 35 dB and reduces phase fluctuation error to 2% of that of conventional methods. Notably, in 1100 consecutive measurements, the proposed method eliminates demodulation failures at critical phase points (e.g., π/4, π/2), which are commonly problematic in traditional techniques. By performing phase pre-compensation at the signal acquisition level, this method significantly enhances the long-term measurement stability of interferometric fiber-optic sensors in complex environments while maintaining the existing PGC demodulation architecture.

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Publication Details

Journal
Sensors
Published
2025-09-28
DOI
https://doi.org/10.3390/s25195990
Primary Topic
Advanced Fiber Optic Sensors
Type
article
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article

Research on High-Precision PGC Demodulation Method for Fabry-Perot Sensors Based on Shifted Sampling Pre-Calibration

Zongjia Qiu, Peng Wu, Shao Jian, Qun Li et al.
Sensors
Advanced Fiber Optic Sensors
article

Research on High-Precision PGC Demodulation Method for Fabry-Perot Sensors Based on Shifted Sampling Pre-Calibration

Zongjia Qiu, Peng Wu, Shao Jian, Qun Li, Meng Zhang, Jiabi Liang, Yuncai Lu
article en

Abstract

To address the issues of quadrature component attenuation and signal-to-noise ratio (SNR) degradation caused by carrier phase delay in Phase-Generated Carrier (PGC) demodulation, this paper proposes a phase delay compensation method based on sampling-point shift pre-calibration. By establishing a discrete phase offset model, we derive the mathematical relationship between sampling point shift and carrier cycle duration, and introduce a compensation mechanism that adjusts the starting point of the sampling sequence to achieve carrier phase pre-alignment. Theoretical analysis demonstrates that this method restricts the residual phase error to within Δ<i>θ</i><sub>max</sub> = π<i>f</i><sub>0</sub>/<i>f</i><sub>s</sub>, thereby fundamentally avoiding the denominator-zero problem inherent in traditional compensation algorithms when <i>θ</i> approaches 45°. Experimental validation using an Extrinsic Fabry-Perot Interferometric (EFPI) ultrasonic sensor shows that, at a sampling rate of 10 MS/s, the proposed pre-alignment algorithm improves the minimum demodulation SNR by 35 dB and reduces phase fluctuation error to 2% of that of conventional methods. Notably, in 1100 consecutive measurements, the proposed method eliminates demodulation failures at critical phase points (e.g., π/4, π/2), which are commonly problematic in traditional techniques. By performing phase pre-compensation at the signal acquisition level, this method significantly enhances the long-term measurement stability of interferometric fiber-optic sensors in complex environments while maintaining the existing PGC demodulation architecture.

SensorsVol. 25(19)
Electric Power Research Institute (US), Chinese Academy of Sciences (CN), Shanghai Electric (China) (CN), Institute of Electrical Engineering (CN)
Openalex Percentile: Top 74%
Advanced Fiber Optic Sensors
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