Algorithm for interferometric phase signal demodulation using a 3×3 coupler

Accurate phase demodulation is essential for high-precision interferometric sensing with 3 × 3 couplers, but conventional methods are often limited by noise sensitivity and channel mismatches. We propose a robust phase demodulation algorithm that combines principal component analysis (PCA) with nonlinear least-squares ellipse fitting (EFA). The algorithm projects measured signals onto a unified two-dimensional subspace using PCA, enhancing noise suppression and ensuring global consistency during phase fitting. By employing trust-region reflective (TRF) optimization for ellipse fitting, the method achieves high stability and accuracy even in challenging scenarios. Experimental results show that, compared to traditional pairwise EFA, the proposed PCA-EFA approach improves mean SNR by 4.26 dB and reduces THD by 3.27<i>%</i> on average. The algorithm also achieves excellent amplitude linearity (<i>R</i><sup>2</sup>=99.9908<i>%</i>) and remains robust for phase amplitudes as low as <i>π</i>8. These results demonstrate substantial advantages in accuracy, robustness, and noise immunity, making it highly suitable for advanced interferometric sensing applications.

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Publication Details

Journal
Optics Express
Published
2025-09-01
DOI
https://doi.org/10.1364/oe.573873
Primary Topic
Acoustic Wave Resonator Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Algorithm for interferometric phase signal demodulation using a 3×3 coupler

Zehao Yu, Weimin Lyu, Xi Chen, Zhaohui Li et al.
Optics Express
Acoustic Wave Resonator Technologies
article

Algorithm for interferometric phase signal demodulation using a 3×3 coupler

Zehao Yu, Weimin Lyu, Xi Chen, Zhaohui Li, Changyuan Yu, Qiu Yu-lin
article en

Abstract

Accurate phase demodulation is essential for high-precision interferometric sensing with 3 × 3 couplers, but conventional methods are often limited by noise sensitivity and channel mismatches. We propose a robust phase demodulation algorithm that combines principal component analysis (PCA) with nonlinear least-squares ellipse fitting (EFA). The algorithm projects measured signals onto a unified two-dimensional subspace using PCA, enhancing noise suppression and ensuring global consistency during phase fitting. By employing trust-region reflective (TRF) optimization for ellipse fitting, the method achieves high stability and accuracy even in challenging scenarios. Experimental results show that, compared to traditional pairwise EFA, the proposed PCA-EFA approach improves mean SNR by 4.26 dB and reduces THD by 3.27<i>%</i> on average. The algorithm also achieves excellent amplitude linearity (<i>R</i><sup>2</sup>=99.9908<i>%</i>) and remains robust for phase amplitudes as low as <i>π</i>8. These results demonstrate substantial advantages in accuracy, robustness, and noise immunity, making it highly suitable for advanced interferometric sensing applications.

Optics ExpressVol. 33(19)
Hong Kong Polytechnic University (HK), Sun Yat-sen University (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN)
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
Openalex Percentile: Top 78%
Acoustic Wave Resonator Technologies
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