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Proceedings Paper

Real-time activity identification in a smart FBG-based fiber-optic perimeter intrusion detection system
Author(s): Huijuan Wu; Xianglin Lu; Shanshan Li; Yu Wu; Yunjiang Rao
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Paper Abstract

Activity identification is very important in a Perimeter Intrusion Detection System (PIDS). In this paper, an intelligent FBG-based fiber-optic PIDS is presented, which can distinguish effects of different intrusion activities. The intrusion identification method is proposed based on the Principal Component Analysis (PCA) to tell the essential dissimilarity of the statistical characteristics of intrusion signal's modalities in the time domain. The experimental results show the recognition rate can be as high as 96.52% for eight types of common intrusion events.

Paper Details

Date Published: 17 October 2012
PDF: 4 pages
Proc. SPIE 8421, OFS2012 22nd International Conference on Optical Fiber Sensors, 84215B (17 October 2012); doi: 10.1117/12.975249
Show Author Affiliations
Huijuan Wu, Univ. of Electronic Science and Technology of China (China)
Xianglin Lu, Univ. of Electronic Science and Technology of China (China)
Shanshan Li, Univ. of Electronic Science and Technology of China (China)
Yu Wu, Univ. of Electronic Science and Technology of China (China)
Yunjiang Rao, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 8421:
OFS2012 22nd International Conference on Optical Fiber Sensors
Yanbiao Liao; Wei Jin; David D. Sampson; Ryozo Yamauchi; Youngjoo Chung; Kentaro Nakamura; Yunjiang Rao, Editor(s)

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