• Chinese Journal of Lasers
  • Vol. 46, Issue 10, 1006001 (2019)
Peichao Chen1、2, Citian You1、2, and Panfeng Ding3、*
Author Affiliations
  • 1College of Information Science and Engineering, Huaqiao University, Xiamen, Fujian 361021, China
  • 2Fujian Key Laboratory of Optical Beam Transmission and Transformation, Xiamen, Fujian 361021, China
  • 3College of Engineering, Huaqiao University, Quanzhou, Fujian 362021, China
  • show less
    DOI: 10.3788/CJL201946.1006001 Cite this Article Set citation alerts
    Peichao Chen, Citian You, Panfeng Ding. Pattern Recognition of Intrusion Events in Perimeter Defense Areas of Optical Fiber[J]. Chinese Journal of Lasers, 2019, 46(10): 1006001 Copy Citation Text show less
    References

    [1] 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).

    [2] Donlagic D, Preloznik B. A fiber-optic system for the quasi-distributed detection of liquids[J]. IEEE Photonics Technology Letters, 27, 1895-1898(2015). http://ieeexplore.ieee.org/document/7132710/

    [3] Wang S Y, Lou S Q, Liang S et al. Pattern recognition method of fiber distributed disturbance sensing system based on M-Z interferometer[J]. Infrared and Laser Engineering, 43, 2613-2618(2014).

    [4] Liu K, Tian M, Jiang J F et al. An improved positioning algorithm in a long-range asymmetric perimeter security system[J]. Journal of Lightwave Technology, 34, 5278-5283(2016). http://ieeexplore.ieee.org/document/7585102/

    [5] Zhang R X, Zhang J F, Zhao Y J et al. Study of temperature characteristics of singlemode-multimode-singlemode fiber structure[J]. Journal of Optoelectronics·Laser, 29, 925-932(2018).

    [6] 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).

    [7] Chen Y, An W Y, Liu H L et al. Application of improved empirical mode decomposition algorithm in fiber Bragg grating perimeter intrusion behaviors classification[J]. Chinese Journal of Lasers, 46, 0304003(2019).

    [8] Shuai S, Wang J, Wu H Y et al. A signal recognition method for distributed optical fiber sensor system[J]. Journal of Fudan University (Natural Science), 57, 611-618(2018).

    [9] Zhang J N, Lou S Q, Liang S. Study of pattern recognition based on SVM algorithm for φ-OTDR distributed optical fiber disturbance sensing system[J]. Infrared and Laser Engineering, 46, 219-225(2017).

    [10] Li Q, Huang Z J, Xu Y Q et al. Optical fiber sensing system based on multimode interference of single-mode-multimode-single-mode fiber structure[J]. Infrared and Laser Engineering, 43, 1630-1636(2014).

    [11] Wang H T, Pu S L, Wang N et al. Magnetic field sensing based on singlemode-multimode-singlemode fiber structures using magnetic fluids as cladding[J]. Optics Letters, 38, 3765-3768(2013). http://europepmc.org/abstract/med/24081047

    [12] Ren N K. Characteristic studies of sensing and demodulation based on MMF modal interference[D]. Harbin: Harbin University of Science and Technology, 12-15(2017).

    [13] You C T, Chen P C, Ding P F. Experimental research on single mode-multimode-single mode fiber structure in security system[J]. Laser & Optoelectronics Progress, 55, 060603(2018).

    [14] Audone B, Colombo R, Marziali I et al. The short time Fourier transform and the spectrograms to characterize EMI emissions. [C]∥2016 International Symposium on Electromagnetic Compatibility - EMC EUROPE, September 5-9, 2016, Wroclaw, Poland. New York: IEEE, 882-888(2016).

    [15] Zhu J T, Liao H J, Xie Y Y et al. Data interpretation of ground-penetrating radar (GPR) via short-time Fourier transform for railway track detection[J]. Journal of Xi'an Jiaotong University, 46, 108-114(2012).

    [16] Gu J X, Wang Z H, Kuen J et al. Recent advances in convolutional neural networks[J]. Pattern Recognition, 77, 354-377(2018). http://arxiv.org/abs/1512.07108

    [17] Abdel-Hamid O, Mohamed A R, Jiang H et al. Convolutional neural networks for speech recognition[J]. ACM Transactions on Audio, Speech, and Language Processing, 22, 1533-1545(2014). http://dl.acm.org/citation.cfm?id=2687099&CFID=521938160&CFTOKEN=58055379

    [18] Lin L K, Wang S Y, Tong Z H. Using deep learning to detect small targets in infrared oversampling images[J]. Journal of Systems Engineering and Electronics, 29, 947-952(2018). http://www.cnki.com.cn/Article/CJFDTotal-XTGJ201805008.htm

    [19] Lin L K, Wang S Y, Tang Z X. Point target detection in infrared over-sampling scanning images using deep convolutional neural networks[J]. Journal of Infrared and Millimeter Waves, 37, 219-226(2018).

    [20] Zhang Y, Lou S Q, Liang S et al. Study of pattern recognition based on multi-characteristic parameters for φ-OTDR distributed optical fiber sensing system[J]. Chinese Journal of Lasers, 42, 1105005(2015).

    [21] Jiang L H, Liu J S, Xiong X L et al. Research on intrusion signal extraction and recognition of optical fiber sensor perimeter[J]. Laser & Infrared, 47, 906-913(2017).

    CLP Journals

    [1] Zhang Yongkang, Shang Ying, Wang Chen, Zhao Wen?an, Li Chang, Cao Bing, Wang Chang. Detection and recognition of distributed optical fiber intrusion signal[J]. Opto-Electronic Engineering, 2021, 48(3): 200254

    Peichao Chen, Citian You, Panfeng Ding. Pattern Recognition of Intrusion Events in Perimeter Defense Areas of Optical Fiber[J]. Chinese Journal of Lasers, 2019, 46(10): 1006001
    Download Citation