Title :
A High-Efficiency Multiple Events Discrimination Method in Optical Fiber Perimeter Security System
Author :
Kun Liu ; Miao Tian ; Tiegen Liu ; Junfeng Jiang ; Zhenyang Ding ; Qinnan Chen ; Chunyu Ma ; Chang He ; Haofeng Hu ; Xuezhi Zhang
Author_Institution :
Coll. of Precision Instrum. & Opto-Electron. Eng., Tianjin Univ., Tianjin, China
Abstract :
This paper proposes an integrated scheme to distinguish invasive events in optical fiber dual Mach-Zehnder Interferometry based perimeter security system. This algorithm combined empirical mode decomposition, kurtosis characteristics with radial basis function neural network, which can improve the recognition rate of event discrimination and increase the variety of intrusion events. Several experiments demonstrate that the proposed scheme can discriminate four common invasive events (climbing the fence, knocking the cable, cutting the fence, and waggling the fence) with an average recognition rate above 85.75%, which can satisfy actual application requirements.
Keywords :
Mach-Zehnder interferometers; optical fibres; radial basis function networks; empirical mode decomposition; event discrimination recognition rate; high-efficiency multiple event discrimination method; integrated scheme; intrusion event; invasive events; kurtosis characteristics; optical fiber dual Mach-Zehnder Interferometry based perimeter security system; optical fiber perimeter security system; radial basis function neural network; Feature extraction; Neural networks; Optical fiber cables; Optical fibers; Pattern recognition; Security; Vibrations; Feature extraction; Optical fibers; feature extraction; optical fibers; pattern recognition; signal analysis;
Journal_Title :
Lightwave Technology, Journal of
DOI :
10.1109/JLT.2015.2494158