Paper
8 October 2015 Study on pattern recognition method based on fiber optic perimeter system
Haiyan Xu, Xuewu Zhang, Zhuo Zhang, Min Li
Author Affiliations +
Proceedings Volume 9679, AOPC 2015: Optical Fiber Sensors and Applications; 96790Y (2015) https://doi.org/10.1117/12.2199827
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China
Abstract
All-fiber interferometer sensor system is a new type of system, which could be used in long-distance, strong-EMI condition for monitoring and inspection. A fiber optic perimeter detection system based on all-fiber interferometric sensor is proposed, through the back-end analysis, processing and intelligent identification, which can distinguish effects of different intrusion activities. In this paper, the universal steps in triggering pattern recognition is introduced, which includes signal characteristics extracting by accurate endpoint detecting, templates establishing by training, and pattern matching. By training the samples acquired in the laboratory, this paper uses the wavelet transformation to decompose the detection signals of the intrusion activities into sub-signals in different frequency bands with multi-resolution analysis. Then extracts the features of the above mentioned intrusions signals by frequency band energy and wavelet information entropy and the system could recognize the intrusion activities occurred along the perimeter sensors. Experiment results show that the proposed method for the perimeter is able to differentiate intrusion signals from ambient noises such as windy and walk effectively. What’s more, the recognition rate of the system is improved while deduced the false alarm rate, the approach is proved by large practical experiment and project.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haiyan Xu, Xuewu Zhang, Zhuo Zhang, and Min Li "Study on pattern recognition method based on fiber optic perimeter system", Proc. SPIE 9679, AOPC 2015: Optical Fiber Sensors and Applications, 96790Y (8 October 2015); https://doi.org/10.1117/12.2199827
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KEYWORDS
Fiber optics

Signal detection

Fiber optics sensors

Sensors

Wavelets

Optical fibers

Wind energy

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