Paper
17 May 2011 A novel FBG-based fence with high sensitivity and low nuisance alarm rate
Huijuan Wu, Yunjiang Rao, Shanshan Li, Xianglin Lu, Yu Wu
Author Affiliations +
Proceedings Volume 7753, 21st International Conference on Optical Fiber Sensors; 77537R (2011) https://doi.org/10.1117/12.884920
Event: 21st International Conference on Optical Fibre Sensors (OFS21), 2011, Ottawa, Canada
Abstract
A quasi-distributed FBG-based fiber-optic fence is investigated in this paper. A novel intrusion detection method is proposed based on the autocorrelation characteristics of the signal with and without disturbances, which is very effective to detect extremely weak signals even from nonequivalent sensor nodes in a large sensor network. When analyzing the intrusion signal's characteristics and excluding the false alarm sources, such as environmental interferences and others, Nuisance Alarm Rate (NAR) is well controlled while extremely high Probability of Detection (PD) is assured. The experimental results show that the PD of the fiber fence using these methods for detecting the single and multiple events can be both higher than 99.5%, while the NAR can be controlled well below 0.5%.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huijuan Wu, Yunjiang Rao, Shanshan Li, Xianglin Lu, and Yu Wu "A novel FBG-based fence with high sensitivity and low nuisance alarm rate", Proc. SPIE 7753, 21st International Conference on Optical Fiber Sensors, 77537R (17 May 2011); https://doi.org/10.1117/12.884920
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Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Signal detection

Fiber Bragg gratings

Computer intrusion detection

Environmental sensing

Signal processing

Sensor networks

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