An Improved PGC-Arctan-LHP Hybrid Demodulation Algorithm for High-Precision Weak Magnetic Sensing
Caihong Huang, Yanhua Dong, Yi Huang, Bo Liu, Bin Chen, Jialei Zhu, Jianxiang Wen, Yanhua Luo 等 10 位
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To overcome the challenges of weak signal demodulation in high-interference fiber-optic sensing environments, this paper proposes an improved PGC-Arctan-LHP (Phase-Generated Carrier-Arctan-Low-order Harmonic Mixing and Phase-orthogonal) algorithm. This algorithm effectively mitigates errors induced by modulation depth drift, light intensity fluctuations, and carrier phase delay. Simulations demonstrate a dynamic range of 132.06 dB at 100 Hz and a 63.09 dB signal-to-noise ratio (SNR) under composite interference. Experimental validation was performed using an all-fiber Michelson interferometric weak magnetic sensing system employing terbium-doped silica fiber. Results demonstrate that the proposed algorithm achieves a magnetically induced phase sensitivity of 0.0092 rad/μT, thereby outperforming existing algorithms. Its noise-equivalent magnetic field sensitivity reaches 1.87 nT/√Hz at 1000 Hz, demonstrating high-precision demodulation of weak magnetic signals with significant potential for complex engineering applications.
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