| Citation: | PENG Meng-fan, ZHOU Ci-ming, PAN Zhen, JIANG Han, LI Ao, WANG Tian-yi, LIU Han-jie, FAN Dian. A noise suppression method for interferometric fiber optic sensor based on ameliorated EFA and adaptive SVMD[J]. Chinese Optics. doi: 10.37188/CO.EN-2025-0038
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Noise interference is a critical bottleneck that affects the stability of sensing systems and the accuracy of data, and existing suppression strategies are unable to simultaneously reduce both inherent system noise and external environmental noise. To address this problem, this paper proposes a composite denoising method based on ameliorated ellipse fitting algorithm (AEFA) and adaptive successive variational mode decomposition (ASVMD). System noise, which is closely correlated with the direct-current (DC) and alternating-current (AC) components in the interferometric signal, is effectively suppressed in AEFA through the elimination of these components. Environmental noise components, which primarily reside in the demodulated phase signal, can be adaptively extracted by the SVMD technique. In order to automatically obtain the optimal decomposition results, the permutation entropy (PE) criterion is introduced to optimize the decomposition parameters. Correlation coefficient (CC) is used to distinguish between the effective components and noise components in the decomposition results. Experimental results indicate that the combined AEFA and ASVMD algorithm effectively suppresses both system and environmental noise. When applied to 50 Hz vibration signal processing, the proposed scheme achieves noise reduction of 17.81 dB and a phase resolution of 35.14 μrad/√Hz. Given the excellent performance of the noise suppression, the proposed scheme holds great application potential in high-performance interferometric sensing systems.
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