An EMD-wavelet algorithm for PDH error signal noise reduction of FBG strain sensor

Peide Liu; Xu Han; Wentao Zhang; Zhichen Hu; Lijie Yang; Yi Zheng

doi:10.1117/12.2642525

23 January 2023 An EMD-wavelet algorithm for PDH error signal noise reduction of FBG strain sensor

Peide Liu, Xu Han, Wentao Zhang, Zhichen Hu, Lijie Yang, Yi Zheng

Proceedings Volume 12557, AOPC 2022: Optical Sensing, Imaging, and Display Technology; 1255702 (2023) https://doi.org/10.1117/12.2642525
Event: Applied Optics and Photonics China 2022 (AOPC2022), 2022, Beijing, China

Abstract

The paper proposes an empirical mode decomposition (EMD)-wavelet algorithm for the noise suppression of the PDH error signal. The EMD is used to decompose the PDH error signal into a finite number of intrinsic mode functions. The Daubechies 4 wavelet is used to suppress the noise in the intrinsic mode functions. A FBG based Fabry-Perot interferometer is used as the sensing element. A narrow linewidth tunable laser is used as the laser source. The laser is phase modulated by a sinusoidal signal. A lock-in amplifier is used to extract the PDH error signal. A proportional-integral-derivative controller is used to control the laser frequency. The noise in the PDH error signal is effectively suppressed. Moreover, the signal-noise-ratio (SNR) of the PDH error signal is improved from 16 dB to 28 dB. A strain signal (1 nε) is applied on the FBG-FP via a PZT. A high-resolution of 680 fε/√Hz@ 1 kHz is achieved.

Citation Download Citation

Peide Liu, Xu Han, Wentao Zhang, Zhichen Hu, Lijie Yang, and Yi Zheng "An EMD-wavelet algorithm for PDH error signal noise reduction of FBG strain sensor", Proc. SPIE 12557, AOPC 2022: Optical Sensing, Imaging, and Display Technology, 1255702 (23 January 2023); https://doi.org/10.1117/12.2642525

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