Laser & Optoelectronics Progress, Volume. 61, Issue 21, 2106004(2024)

Denoising Algorithm for φ-OTDR System Based on Adaptive Wavelet Threshold

Donghui Wan1, Shengpeng Wan1、*, and Junsong Yu2、**
Author Affiliations
  • 1Key Laboratory of Optoelectronic Information Science and Technology of Jiangxi Province, School of Measuring and Optical Engineering, Nanchang Hangkong University, Nanchang 330063, Jiangxi , China
  • 2Key Laboratory of Nondestructive Test, Ministry of Education, School of Measuring and Optical Engineering, Nanchang Hangkong University, Nanchang 330063, Jiangxi , China
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    Figures & Tables(9)
    Structure of φ-OTDRsystem based on heterodyne detection
    I/Q orthogonal demodulation flowchart
    Image with different threshold functions
    Simulated ground intrusion environment
    Stampede signal waveform after denoising by different methods
    Mining signal waveform after denoising by different methods
    Object drop signal waveform after denoising by different methods
    Rolling signal waveform after denoising by different methods
    • Table 1. SNR of 4 types of events after denoising by different methods

      View table

      Table 1. SNR of 4 types of events after denoising by different methods

      MethodSNR /dB
      StampedeMiningObject dropRolling
      None11.729.199.1212.78
      Hard threshold function14.7514.0416.0717.10
      Soft threshold function16.3218.6021.8820.06
      Proposed24.8332.9232.9927.24
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    Donghui Wan, Shengpeng Wan, Junsong Yu. Denoising Algorithm for φ-OTDR System Based on Adaptive Wavelet Threshold[J]. Laser & Optoelectronics Progress, 2024, 61(21): 2106004

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Dec. 22, 2023

    Accepted: Mar. 4, 2024

    Published Online: Nov. 18, 2024

    The Author Email: Shengpeng Wan (sp_wan@163.com), Junsong Yu (70940@nchu.edu.cn)

    DOI:10.3788/LOP232722

    CSTR:32186.14.LOP232722

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