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Laser & Optoelectronics Progress, Volume. 58, Issue 3, 3120031(2021)

Study of a Optical Fiber Acoustic Sensing System Based on F-P Microcavity Structure

Yin Xi1, Wan Shengpeng1,2、*, Xiong Xinzhong1, Dong Dezhuang1, Liu Heng1, Xiao Deng1, and Lei Ying1
Author Affiliations
  • 1Jiangxi Engineering Laboratory for Optoelectronics Testing Technology, Nanchang Hangkong University, Nanchang , Jiangxi 330063, China
  • 2National Engineering Laboratory for Nondestructive Testing and Optoelectric Sensing Technology and Application, Nanchang Hangkong University, Nanchang , Jiangxi 330063, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (14)
    Equations (2)
    References (18)
    Cited By (2)
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    Figures & Tables(14)
    Sensor head structure. (a) Main view; (b) left view

    Fig. 1. Sensor head structure. (a) Main view; (b) left view

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    Schematic of F-P microcavity sensing

    Fig. 2. Schematic of F-P microcavity sensing

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    Fabricated GO diaphragm

    Fig. 3. Fabricated GO diaphragm

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    Packaged sensor head. (a) Spectrometer display at the maximum interference contrast; (b) encapsulated F-P sensor head

    Fig. 4. Packaged sensor head. (a) Spectrometer display at the maximum interference contrast; (b) encapsulated F-P sensor head

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    Optical fiber acoustic sensor syQstem based on F-P microcavity structure

    Fig. 5. Optical fiber acoustic sensor syQstem based on F-P microcavity structure

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    Speech signals collected by the system

    Fig. 6. Speech signals collected by the system

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    Wavelet packet decomposition tree

    Fig. 7. Wavelet packet decomposition tree

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    Multiple-frame comparison method

    Fig. 8. Multiple-frame comparison method

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    Trend term eliminated by least square method. (a) Speech signals collected by the system; (b) speech signals after elimination trend terms

    Fig. 9. Trend term eliminated by least square method. (a) Speech signals collected by the system; (b) speech signals after elimination trend terms

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    Signal before and after Wiener denoising. （a） Speech signal;（b） speech signal after Wiener denoising

    Fig. 10. Signal before and after Wiener denoising. （a） Speech signal;（b） speech signal after Wiener denoising

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    Speech spectra before and after Wiener denoising. （a） Speech spectrum； （b） speech spectrum after Wiener denoising

    Fig. 11. Speech spectra before and after Wiener denoising. （a） Speech spectrum； （b） speech spectrum after Wiener denoising

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    Reconstructed graphs of one-dimensional wavelet packet coefficient

    Fig. 12. Reconstructed graphs of one-dimensional wavelet packet coefficient

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    One-dimensional wavelet packet coefficient after Wiener denoising

    Fig. 13. One-dimensional wavelet packet coefficient after Wiener denoising

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    Speech signal graph and speech spectrum graph obtained by Wiener denoising method based on wavelet packet transform. (a) Speech signal graph; (b) speech spectrum graph

    Fig. 14. Speech signal graph and speech spectrum graph obtained by Wiener denoising method based on wavelet packet transform. (a) Speech signal graph; (b) speech spectrum graph

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    Yin Xi, Wan Shengpeng, Xiong Xinzhong, Dong Dezhuang, Liu Heng, Xiao Deng, Lei Ying. Study of a Optical Fiber Acoustic Sensing System Based on F-P Microcavity Structure[J]. Laser & Optoelectronics Progress, 2021, 58(3): 3120031

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Jun. 19, 2020

    Accepted: --

    Published Online: Mar. 12, 2021

    The Author Email: Shengpeng Wan (sp_wan@163.com)

    DOI:10.3788/LOP202158.0312003

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology