Abstract
Phase-( Φ -) and Polarization- sensitive (P-) Optical-Time-Domain Reflectometries (OTDRs) are both representative optical fiber fence technologies, which have promising applications in long or ultra-long perimeter security with precise location ability. However, the challenge is that they are liable to be interfered by environmental influences due to their high sensitivity feature. Real human intrusions are always buried in the environmental noises and interferences, which lead to poor detection results. Thus it is proposed in this paper to extract human intrusion signals and separate the complicated noisy backgrounds by using a multi-scale Wavelet decomposition method. Practical test results prove its effectiveness.
Published Version
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