• Acta Optica Sinica
  • Vol. 39, Issue 6, 0628002 (2019)
Kuan Peng1、2, Cheng Feng1, Senmao Wang1, Fan Ai1, Hao Li1, Deming Liu1, and Qizhen Sun1、*
Author Affiliations
  • 1 School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
  • 2 Wuhan Fisilink Microelectronics Technology Company Limited, Wuhan, Hubei 430074, China
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    DOI: 10.3788/AOS201939.0628002 Cite this Article Set citation alerts
    Kuan Peng, Cheng Feng, Senmao Wang, Fan Ai, Hao Li, Deming Liu, Qizhen Sun. Event Discrimination Method for Distributed Optical Fiber Intrusion Sensing System Based on Integrated Time/Frequency Domain Feature Extraction[J]. Acta Optica Sinica, 2019, 39(6): 0628002 Copy Citation Text show less
    References

    [1] Liu D M, Sun Q Z, Lu P et al. Research progress in the key device and technology for fiber optic sensor network[J]. Photonic Sensors, 6, 1-25(2016). http://link.springer.com/article/10.1007/s13320-015-0299-z

         Liu D M, Sun Q Z, Lu P et al. Research progress in the key device and technology for fiber optic sensor network[J]. Photonic Sensors, 6, 1-25(2016). http://link.springer.com/article/10.1007/s13320-015-0299-z

    [2] Allwood G, Wild G, Hinckley S. Optical fiber sensors in physical intrusion detection systems: a review[J]. IEEE Sensors Journal, 16, 5497-5509(2016). http://ieeexplore.ieee.org/document/7421944

         Allwood G, Wild G, Hinckley S. Optical fiber sensors in physical intrusion detection systems: a review[J]. IEEE Sensors Journal, 16, 5497-5509(2016). http://ieeexplore.ieee.org/document/7421944

    [3] Huang S C, Lin W W, Tsai M T et al. Fiber optic in-line distributed sensor for detection and localization of the pipeline leaks[J]. Sensors and Actuators A: Physical, 135, 570-579(2007). http://www.sciencedirect.com/science/article/pii/S092442470600625X

         Huang S C, Lin W W, Tsai M T et al. Fiber optic in-line distributed sensor for detection and localization of the pipeline leaks[J]. Sensors and Actuators A: Physical, 135, 570-579(2007). http://www.sciencedirect.com/science/article/pii/S092442470600625X

    [4] Lopez-Higuera J M, Rodriguez Cobo L, Quintela Incera A et al. . Fiber optic sensors in structural health monitoring[J]. Journal of Lightwave Technology, 29, 587-608(2011). http://ieeexplore.ieee.org/document/5709958

         Lopez-Higuera J M, Rodriguez Cobo L, Quintela Incera A et al. . Fiber optic sensors in structural health monitoring[J]. Journal of Lightwave Technology, 29, 587-608(2011). http://ieeexplore.ieee.org/document/5709958

    [5] Liao Y B, Yuan L B, Tian Q. The 40 years of optical fiber sensors in China[J]. Acta Optica Sinica, 38, 0328001(2018).

         Liao Y B, Yuan L B, Tian Q. The 40 years of optical fiber sensors in China[J]. Acta Optica Sinica, 38, 0328001(2018).

    [6] Li P C, Liu K, Jiang J F et al. Research on polarization control of distributed optical fiber sensing system based on FPGA[J]. Chinese Journal of Lasers, 45, 0510002(2018).

         Li P C, Liu K, Jiang J F et al. Research on polarization control of distributed optical fiber sensing system based on FPGA[J]. Chinese Journal of Lasers, 45, 0510002(2018).

    [7] Ghafoori-Shiraz H, Okoshi T. Fault location in optical fibers using optical frequency domain reflectometry[J]. Journal of Lightwave Technology, 4, 316-322(1986). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1074720

         Ghafoori-Shiraz H, Okoshi T. Fault location in optical fibers using optical frequency domain reflectometry[J]. Journal of Lightwave Technology, 4, 316-322(1986). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1074720

    [8] Huang X D, Wang Y D, Liu K et al. Event discrimination of fiber disturbance based on filter bank in DMZI sensing system[J]. IEEE Photonics Journal, 8, 1-14(2016). http://ieeexplore.ieee.org/document/7450616/

         Huang X D, Wang Y D, Liu K et al. Event discrimination of fiber disturbance based on filter bank in DMZI sensing system[J]. IEEE Photonics Journal, 8, 1-14(2016). http://ieeexplore.ieee.org/document/7450616/

    [9] Liu K, Tian M, Liu T G et al. A high-efficiency multiple events discrimination method in optical fiber perimeter security system[J]. Journal of Lightwave Technology, 33, 4885-4890(2015). http://ieeexplore.ieee.org/document/7305775/

         Liu K, Tian M, Liu T G et al. A high-efficiency multiple events discrimination method in optical fiber perimeter security system[J]. Journal of Lightwave Technology, 33, 4885-4890(2015). http://ieeexplore.ieee.org/document/7305775/

    [10] Jiang L H, Gai J Y, Wang W B et al. Ensemble empirical mode decomposition based event classification method for the fiber-optic intrusion monitoring system[J]. Acta Optica Sinica, 35, 1006002(2015).

         Jiang L H, Gai J Y, Wang W B et al. Ensemble empirical mode decomposition based event classification method for the fiber-optic intrusion monitoring system[J]. Acta Optica Sinica, 35, 1006002(2015).

    [11] Jiang L H, Liu X M, Yang R Y. Application of the HHT method to the airport fiber fence warning. [C]∥2011 International Conference on Electronics, Communications and Control (ICECC), September 9-11, 2011, Ningbo, China. New York: IEEE, 1337-1340(2011).

         Jiang L H, Liu X M, Yang R Y. Application of the HHT method to the airport fiber fence warning. [C]∥2011 International Conference on Electronics, Communications and Control (ICECC), September 9-11, 2011, Ningbo, China. New York: IEEE, 1337-1340(2011).

    [12] Mahmoud S S, Visagathilagar Y, Katsifolis J. Real-time distributed fiber optic sensor for security systems: performance, event classification and nuisance mitigation[J]. Photonic Sensors, 2, 225-236(2012). http://www.opticsjournal.net/Articles/Abstract?aid=OJ130416000212KhNjQm

         Mahmoud S S, Visagathilagar Y, Katsifolis J. Real-time distributed fiber optic sensor for security systems: performance, event classification and nuisance mitigation[J]. Photonic Sensors, 2, 225-236(2012). http://www.opticsjournal.net/Articles/Abstract?aid=OJ130416000212KhNjQm

    [13] Li K Y, Zhao X Q, Sun X H et al. A regular composite feature extraction method for vibration signal pattern recognition in optical fiber link system[J]. Acta Physica Sinica, 64, 054304(2015).

         Li K Y, Zhao X Q, Sun X H et al. A regular composite feature extraction method for vibration signal pattern recognition in optical fiber link system[J]. Acta Physica Sinica, 64, 054304(2015).

    [14] Huang X D, Zhang H J, Liu K et al. High-efficiency intrusion recognition by using synthesized features in optical fiber perimeter security system[J]. Acta Physica Sinica, 66, 124206(2017).

         Huang X D, Zhang H J, Liu K et al. High-efficiency intrusion recognition by using synthesized features in optical fiber perimeter security system[J]. Acta Physica Sinica, 66, 124206(2017).

    [15] Wang H, Sun Q Z, Li X L et al. Improved location algorithm for multiple intrusions in distributed Sagnac fiber sensing system[J]. Optics Express, 22, 7587-7597(2014). http://www.opticsinfobase.org/abstract.cfm?URI=oe-22-7-7587

         Wang H, Sun Q Z, Li X L et al. Improved location algorithm for multiple intrusions in distributed Sagnac fiber sensing system[J]. Optics Express, 22, 7587-7597(2014). http://www.opticsinfobase.org/abstract.cfm?URI=oe-22-7-7587

    [16] Donoho D L. De-noising by soft-thresholding[J]. IEEE Transactions on Information Theory, 41, 613-627(1995). http://dl.acm.org/citation.cfm?id=2274414

         Donoho D L. De-noising by soft-thresholding[J]. IEEE Transactions on Information Theory, 41, 613-627(1995). http://dl.acm.org/citation.cfm?id=2274414

    [17] Jansen M. Noise reduction by wavelet thresholding[M]. New York: Springer-Verlag, 35-39(2001).

         Jansen M. Noise reduction by wavelet thresholding[M]. New York: Springer-Verlag, 35-39(2001).

    [18] Hu G S[M]. Modern digital signal processing tutorial, 381-388(2015).

         Hu G S[M]. Modern digital signal processing tutorial, 381-388(2015).

    [19] Han L H, Wang B, Duan S F. Development of voice activity detection technology[J]. Application Research of Computers, 27, 1220-1226(2010).

         Han L H, Wang B, Duan S F. Development of voice activity detection technology[J]. Application Research of Computers, 27, 1220-1226(2010).

    [20] Tanyer S G, Ozer H. Voice activity detection in nonstationary noise[J]. IEEE Transactions on Speech and Audio Processing, 8, 478-482(2000). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=848229

         Tanyer S G, Ozer H. Voice activity detection in nonstationary noise[J]. IEEE Transactions on Speech and Audio Processing, 8, 478-482(2000). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=848229

    [21] Jain A K. Duin R P W, Mao J C. Statistical pattern recognition: a review[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 4-37(2000).

         Jain A K. Duin R P W, Mao J C. Statistical pattern recognition: a review[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 4-37(2000).

    [22] Liu L, Sun W, Zhou Y et al. Security event classification method for fiber-optic perimeter security system based on optimized incremental support vector machine[M]. ∥Li S, Liu C, Wang Y. Communications in Computer and Information Science. Berlin, Heidelberg: Springer, 595-603(2014).

         Liu L, Sun W, Zhou Y et al. Security event classification method for fiber-optic perimeter security system based on optimized incremental support vector machine[M]. ∥Li S, Liu C, Wang Y. Communications in Computer and Information Science. Berlin, Heidelberg: Springer, 595-603(2014).

    [23] Wang L K, Tan D J, Cai Y J et al. Study on method of recognizing characteristics of pipeline leakage acoustic signals. [C]∥Pipeline Division. 2006 International Pipeline Conference, September 25-29, 2006, Calgary, Alberta, Canada. New York: ASME, 751-755(2006).

         Wang L K, Tan D J, Cai Y J et al. Study on method of recognizing characteristics of pipeline leakage acoustic signals. [C]∥Pipeline Division. 2006 International Pipeline Conference, September 25-29, 2006, Calgary, Alberta, Canada. New York: ASME, 751-755(2006).

    [24] Sun J D, Jin S J. Feature extraction method based on wavelet packet energy and high-order spectrum[J]. Journal of Tianjin University, 43, 562-566(2010).

         Sun J D, Jin S J. Feature extraction method based on wavelet packet energy and high-order spectrum[J]. Journal of Tianjin University, 43, 562-566(2010).

    [25] Haykin S, Simon Haykin[M]. 神经网络与机器学习, 144-193(2011).

         Haykin S, Simon Haykin[M]. 神经网络与机器学习, 144-193(2011).

         [M]. Neural networks and learning machines, 144-193(2011).

         [M]. Neural networks and learning machines, 144-193(2011).

    [26] Hsu C W, Lin C J. A comparison of methods for multiclass support vector machines[J]. IEEE Transactions on Neural Networks, 13, 415-425(2002). http://www.tandfonline.com/servlet/linkout?suffix=CIT0024&dbid=16&doi=10.1080%2F15481603.2018.1426091&key=10.1109%2F72.991427

         Hsu C W, Lin C J. A comparison of methods for multiclass support vector machines[J]. IEEE Transactions on Neural Networks, 13, 415-425(2002). http://www.tandfonline.com/servlet/linkout?suffix=CIT0024&dbid=16&doi=10.1080%2F15481603.2018.1426091&key=10.1109%2F72.991427

    [27] Lingras P, Butz C. Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification[J]. Information Sciences, 177, 3782-3798(2007). http://www.sciencedirect.com/science/article/pii/S0020025507001594

         Lingras P, Butz C. Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification[J]. Information Sciences, 177, 3782-3798(2007). http://www.sciencedirect.com/science/article/pii/S0020025507001594

    [28] Li Y C, Xue Q, Fu X J. Analysis on features of stealing oil signal of pipeline with wavelet transform[J]. Journal of Wuhan University of Technology, 32, 76-79, 94(2010).

         Li Y C, Xue Q, Fu X J. Analysis on features of stealing oil signal of pipeline with wavelet transform[J]. Journal of Wuhan University of Technology, 32, 76-79, 94(2010).

    Kuan Peng, Cheng Feng, Senmao Wang, Fan Ai, Hao Li, Deming Liu, Qizhen Sun. Event Discrimination Method for Distributed Optical Fiber Intrusion Sensing System Based on Integrated Time/Frequency Domain Feature Extraction[J]. Acta Optica Sinica, 2019, 39(6): 0628002
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