Denoising algorithm of 0-OTDR signal based on curvelet transform with adaptive threshold

被引：5

作者：

Li, Desheng ^{[1
]}

Wang, Hao ^{[2
]}

Wang, Xuewei ^{[1
]}

Li, Xiang ^{[1
]}

Huang, Tianye ^{[1
]}

Ge, Mingfeng ^{[1
]}

Yin, Jie ^{[1
]}

Chen, Shaoxiang ^{[3
]}

Huang, Bao ^{[4
]}

Guan, Kai ^{[5
]}

He, Chongwen ^{[6
]}

Hu, Huixuan ^{[4
]}

Li, Kang ^{[3
]}

Lian, Zhenggang ^{[7
]}

机构：

[1] China Univ Geosci, Sch Mech Engn & Elect Informat, Wuhan 430074, Peoples R China

[2] Univ Cambridge, Dept Engn, Div Elect Engn, Cambridge, England

[3] Wuhan Huaray Precis Laser Co Ltd, Wuhan 430223, Peoples R China

[4] Raycus Fiber Laser Technol Co Ltd, Wuhan 430075, Peoples R China

[5] Tianjin LiM Laser Technol Co Ltd, Tianjin 300380, Peoples R China

[6] Harbin Welding Laser Intelligent Equipment Wuhan, Wuhan 430074, Peoples R China

[7] Yangtze Opt Elect Co Ltd, Wuhan 430074, Peoples R China

来源：

OPTICS COMMUNICATIONS | 2023年 / 545卷

关键词：

Phase-sensitive optical time-domain; reflectometry; Distributed fiber sensing; Curvelet transform; De-noising; ENHANCEMENT; OTDR;

D O I：

10.1016/j.optcom.2023.129708

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In this paper, a denoising scheme based on curvelet transform is proposed to improve the signal-to-noise ratio (SNR) for vibration sensing in phase-sensitive optical time-domain reflectometry (0-OTDR) systems. The noise level can be estimated based on non-vibration images, which can be used to set the threshold for curvelet coefficients. We further optimize the threshold according to the amplitude distribution of the curvelet coefficients. In the experimental demonstration, when the optical pulse width is 100 ns, the SNR of location information of the 100 Hz vibration events can be increased by 6.93 dB, which proves the effectiveness of the proposed method.

引用

页数：6

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