[1] J. Geng, Y. Zou, S. Staines, M. Blake, and S. Jiang, “A real-time distributed fiber strain sensor for long-distance perimeter intruder detection,” in Optical Solutions for Homeland and National Security (Optical Society of America), U. S. A., pp. P3, 2005.
[2] M. Szustakowski, W. Ciurapinski, N. Palka, and M. Zyczkowski, “Recent development of fibre optic sensors for perimeter security,” in Proceedings of the International Conference: Modern Problems of Radio Engineering, Telecommunications and Computer Science, Chile, pp. 158–162, 2002.
[3] S. V. Shatalin, V. N. Treschikov, and A. J. Rogers, “Interferometric optical time-domain reflectometry for distributed optical-fiber sensing,” Applied Optics, 1998, 37(24): 5600–5604.
[4] J. Bush, C. A. Davis, P. G. Davis, A. Cekorich, and F. P. McNair, “Buried fiber intrusion detection sensor with minimal false alarm rates,” in Proc. SPIE, vol. 3489, pp. 285–295, 1998.
[5] J. C. Juarez, E. W. Maier, K. N. Choi, and H. F. Taylor, “Distributed fiber-optic Intrusion sensor system,” Journal of Lightwave Techology, 2005, 23(6): 2081–2087.
[6] J. C. Juarez and H. F. Taylor, “Field test of a distributed fiber-optic intrusion sensor system for long perimeters,” Applied Optics, 2007, 46(11): 1968–1971.
[7] Y. J. Rao, J. Luo, Z. Ran, J. Yue, X. Luo, and Z. Zhou, “Long-distance fiber-optic Φ-OTDR intrusion sensing system,” in Proc. SPIE, vol. 7503, pp. 75031O-1–75031O-4, 2009.
[8] F. Peng, Z. Wang, Y. Rao, and X. Jia, “106 km fully-distributed fiber-optic fence based on P-OTDR with 2nd-order Raman amplification,” in Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference (OFC/NFOEC), Anaheim, CA, pp. 1–3, 2013.
[9] A. D. Kersey, “Recent progress in Interferometric fibre sensor technology,” in Proc. SPIE, vol. 1367, pp. 2–12, 1990.
[10] A. A. Chtcherbakov and P. L. Swart, “Polarization effects in the Sagnac-Michelson distributed disturbance location sensor,” Journal of Lightwave Technology, 1998, 16(6): 1404–1412.
[11] B. Kizlik, “Fibre optic distributed sensor in Mach-Zehnder interferometer configuration,” in Proceedings of the International Conference: Modern Problems of Radio Engineering, Telecommunications and Computer Science, Chile, pp. 128–130, 2002.
[12] M. Szustakowski, W. M. Ciurapinski, and M. Zyczkowski, “Trends in optoelectronic perimeter security sensors,” in Proc. SPIE, vol. 6736, pp. 67360Q-1–67360Q- 12, 2007.
[13] L. Yuan and Y. Dong, “Loop topology based white light interferometric fiber optic sensor network for application of perimeter security,” Photonic Sensors, 2011, 1(3): 260–267.
[14] A. D. Kersey, M. A. Davis, H. J. Partrick, M. Leblance, K. P. Koo, C. G. Askins, et al., “Fiber grating sensors,” Journal of Lightwave Technology, 1997, 15(8): 1442–1463.
[15] Y. Rao, “In-fibre Bragg grating sensors,” Measurement Science and Technology, 1997, 8(4): 355–375.
[16] Y. Rao, “Recent progress in application of in-fiber Bragg grating sensors,” Optics and Lasers in Engineering, 1999, 31(4): 297–324.
[17] Z. Ran, Y. Rao, N. Nie, and R. Chen, “Long-distance fiber Bragg grating sensor system based on hybrid Raman/erbium-doped fiber amplifier,” in Proc. SPIE, vol. 5855, pp. 583–586, 2005.
[18] Q. Jiang, Y. Rao, and D. Zeng, “A fiber-optical intrusion alarm system based on quasi-distributed fiber Bragg grating sensors,” in APOS’08. 1st Asia-Pacific Optical Fiber Sensors Conference, Chengdu, China, pp. 1–4, 2008.
[19] H. Wu, Y. Rao, C. Tang, Y. Wu, and Y. Gong, “A novel FBG-based security fence enabling to detect extremely weak intrusion signals from nonequivalent sensor nodes,” Sensors and Actuators A: Physical, 2011, 167(2): 548–555.
[20] F. Blackmon and J. Pollock, “Blue Rose perimeter defense and security system,” in Proc. SPIE, vol. 6201, pp. 620123, 2006.
[21] D. Anderson, “Smart perimeter security,” Fiber-SenSys.,http://www.fibersensys.com/index.ph p option=com_docman&task=doc_details&gid=55 &Itemid=54 (2009).
[22] H. Yan, G. Shi, Q. Wang, and S. Hao, “Identification of damaging activities for perimeter security,” in 2009 International Conference on Signal Processing Systems, Singapore, pp. 162–166, 2009.
[23] Y. Zhao, X. Shen, N. Georganas, and E. M. Petriu, “Part-based PCA for facial feature extraction and classification,” in IEEE International Workshop on Haptic Audio visual Environments and Games, Lecco, pp. 99–104, 2009.
[24] X. Han, D. Xu, and Y. Liu, “Application of principal components analysis in condenser fault diagnosis,” in The Sixth World Congress on Intelligent Control and Automation, Dalian, pp. 5666–5669, 2006.