Xuping Zhang1、4, Xiaohong Chen1、2、4, Lei Liang1、4, Shisong Zhao3, Rulong He5, Shuai Tong1、4, Feng Wang1、4, Ningmu Zou1、**, and Yixin Zhang1、4、*
Author Affiliations
1Key Laboratory of Intelligent Optical Sensing and Manipulation, Ministry of Education, Nanjing University, Nanjing, Jiangsu 210093, China2College of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210023, China;3Nanjing Fiber Photonics Technology Co., Ltd, Nanjing, Jiangsu 211135, China4College of Engineering and Applied Sciences, Nanjing University, Nanjing, Jiangsu 210023, China5Naval University of Engineering, Wuhan, Hubei 430032, Chinashow less
DOI: 10.3788/AOS202141.1306001
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Xuping Zhang, Xiaohong Chen, Lei Liang, Shisong Zhao, Rulong He, Shuai Tong, Feng Wang, Ningmu Zou, Yixin Zhang. Enhanced C-OTDR-Based Online Monitoring Scheme for Long-Distance Submarine Cables[J]. Acta Optica Sinica, 2021, 41(13): 1306001
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Fig. 1. Diagram of optical fiber deformation caused by external vibration
Fig. 2. Improved C-OTDR structure
Fig. 3. Waveforms of intermediate frequency signals in P state and S state
Fig. 4. Process flow of optimal selection algorithm of polarization diversity amplitude
Fig. 5. Loss test results of 216 curves under different polarization states. (a) P state; (b) S state; (c) two states accumulation
Fig. 6. Partial enlargement of Fig. 5. (a) P state; (b) S state; (c) two states accumulation
Fig. 7. Signal amplitude waterfall near PZT in P polarization state
Fig. 8. Phase information extracted from two polarization states and reconstruction results after optimization. (a) Phase extraction result of P polarization state; (b) phase extraction result of S polarization state; (c) amplitude sum before and after perturbation position; (d) optimal result; (e) reconstructed signal after processing by optimal selection algorithm of polarization diversity amplitude
Fig. 9. Temporal and spatial amplitude waterfall diagram of water pump spraying process
Fig. 10. Vibration waveform of water impacting optical cable
Fig. 11. Temporal and spatial amplitude waterfall diagram obtained from anchor damage simulation test
Fig. 12. Time domain waveform of vibration signal measured by anchor damage simulation
Fig. 13. Schematic of two-terminal cooperation of marine cable monitoring system
No. | Year | Reference | Technology | Distance /km | Spatialresolution /m | Monitoringparameter |
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1 | 1995 | Ref. [39] | C-OTDR | 90.0 | 1000 | Loss | 2 | 2009 | Ref. [10] | C-OTDR & logarithmic detection (LD) | 100.0 | 1000 | Loss | 3 | 2014 | Ref. [12] | Frequency-division-multiplexing (FDM)-COTDR | 80.0 | 1000 | Loss | 4 | 2014 | Ref. [23] | Bidirectional Raman amplification (BRA) & Φ-OTDR | 131.5 | 8 | Vibration | 5 | 2014 | Ref. [24] | Hybrid distributed amplification (HAD) & Φ-OTDR | 175.0 | 25 | Vibration | 6 | 2016 | Ref. [5] | C-OTDR | 180.0 | 1000 | Vibration | 7 | 2016 | Ref. [34] | OTDR & Φ-OTDR | 70.0 | 10 | Loss, vibration | 8 | 2019 | Ref. [21] | Direct detection(DD)Φ-OTDR | 102.7 | 15 | Vibration | 9 | 2021 | This work | C-OTDR & Φ-OTDR | 127.0 | 100 | Loss, vibration |
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Table 1. Performance comparison of long distance C-OTDR and Φ-OTDR sensing systems