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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    Phase-sensitive optical time-domain reflectometry (φ-OTDR) offers advantages such as high sensitivity, resistance to electromagnetic interference, and long transmission distance, and is widely used in fields such as rail transit, pipeline monitoring, marine acoustic-signal detection, and perimeter security. However, the performance of φ-OTDR systems is affected by laser, balanced photodetector, erbium-doped fiber amplifier, and environmental noises. Based on existing wavelet denoising algorithms, this study proposes a new adaptive threshold-calculation method and a new continuous low-error wavelet-threshold function using the wavelet coefficients in each layer wavelet transform as parameters for threshold calculation, as well as analyzes the performance of the new wavelet-threshold function. Experimental results show that compared with wavelet soft- and hard-threshold denoising algorithm, the improved adaptive wavelet-threshold denoising algorithm proposed herein offers better denoising effect.

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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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