Laser & Optoelectronics Progress, Volume. 61, Issue 13, 1306006(2024)

Φ-OTDR Denoising Algorithm Based on Empirical Mode Decomposition and Butterworth Filtering

Hongtao Peng1, Mengqi Wang1, Wenbo He1, Lü Xiaomeng2, and Xi Li3、*
Author Affiliations
  • 1The 3rd Military Representative Office of Air Force Equipment Department in Chengdu Area, Chengdu 610029, Sichuang, China
  • 2The 29th Research Instiute of CETC, Chengdu 610029, Sichuang, China
  • 3Accelink Technologies Co., Ltd., Wuhan 430205, Hubei , China
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    In order to solve the problem that the original signal collected by Φ-OTDR optical fiber sensor contains a lot of noise and low signal-to-noise ratio, a denoising algorithm based on empirical mode decomposition and interval iterative invariant threshold is proposed. In this method, the signal is decomposed based on the time scale features,without setting the basis function in advance. And then a standard Butterworth filter is used to eliminate the noise in the intrinsic model components. Simulation experiments are designed, and the results show that the signal-to-noise ratio of humman beating signal and mechanical excavation signal is improved by 3.01 dB and 5.12 dB respectively, which can effectively restrain the noise of original signal data, thus improving the sensitivity of Φ-OTDR system.

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    Hongtao Peng, Mengqi Wang, Wenbo He, Lü Xiaomeng, Xi Li. Φ-OTDR Denoising Algorithm Based on Empirical Mode Decomposition and Butterworth Filtering[J]. Laser & Optoelectronics Progress, 2024, 61(13): 1306006

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Aug. 29, 2023

    Accepted: Nov. 1, 2023

    Published Online: Jul. 17, 2024

    The Author Email: Xi Li (xi.li@accelink.com)

    DOI:10.3788/LOP232005

    CSTR:32186.14.LOP232005

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