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

共 50 条

[41] SNR enhancement of quasi-distributed weak acoustic signal detection by elastomers and MMF integrated 0-OTDR
Li, Jialong
Liu, Huanhuan
Shen, Xingliang
Xiao, Yihong
Wu, Zhengting
Guo, Penglai
Hu, Jiaqi
Liu, Yutian
Dang, Hong
Sun, Qizhen
Zhao, Zhiyong
Zhang, Yixin
Shum, Perry Ping
OPTICS EXPRESS, 2023, 31 (22) : 37019 - 37029
[42] Image denoising method based on curvelet transform and total variation
Ni, Xue
Li, Qingwu
Meng, Fan
Shi, Dan
Fan, Xinnan
Guangxue Xuebao/Acta Optica Sinica, 2009, 29 (09): : 2390 - 2394
[43] Translation-invariant based adaptive threshold denoising for impact signal
Gai, Guanghong
Qu, Liangsheng
Chinese Journal of Mechanical Engineering (English Edition), 2004, 17 (04): : 552 - 555
[44] New Image Denoising Method Based Wavelet and Curvelet Transform
Li, Hong-qiao
Wang, Sheng-qian
Deng, Cheng-zhi
2009 WASE INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING, ICIE 2009, VOL I, 2009, : 136 - +
[45] ECG Signal Denoising Using Adaptive Thresholding Based on Wavelet Transform
Li Nianqiang
Wang Zhengsheng
Li Ping
PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOL. 3, 2008, : 1585 - 1588
[46] TRANSLATION-INVARIANT BASED ADAPTIVE THRESHOLD DENOISING FOR IMPACT SIGNAL
Gai GuanghongQu LiangshengSchool of Mechanical Engineering
Chinese Journal of Mechanical Engineering, 2004, (04) : 552 - 555
[47] Mammogram Denoising by Curvelet Transform based on the Information of Neighbouring Coefficients
Saha, Manas
Naskar, Mrinal Kanti
Chatterji, Biswa Nath
2015 THIRD INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION, CONTROL AND INFORMATION TECHNOLOGY (C3IT), 2015,
[48] Research on Signal Denoising Method Based on Adaptive Lifting Wavelet Transform
Zhang Pan
Ni Yunfeng
Wang Jiaolong
2018 INTERNATIONAL CONFERENCE ON SENSOR NETWORKS AND SIGNAL PROCESSING (SNSP 2018), 2018, : 306 - 310
[49] An Adaptive Filter Denoising Based on Wavelet Transform Applied in ECG Signal
Qian, Xiao
PROGRESS IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-4, 2013, 610-613 : 2521 - 2524
[50] Electrocardiogram Signal Denoising Based on Multi-Threshold Stationary Wavelet Transform
Peng, Huyang
Chen, Yongrui
Shi, Donglin
Xie, Fengling
2022 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (MEMEA 2022), 2022,

← 1 2 3 4 5 →