Optical Fiber Vibration Recognition Based on Wavelet Reconstruction and Time-Space Features

doi:10.3969/j.cnki.jdxb.2017.02.007

Abstract

Abstract:

The identification algorithm of intrusion signal source occupies a very important position in the optical fiber pre-warning system (OFPS).Identification of intrusion types is necessary for harmful intrusion recognition and precautionary measures.In this paper,a recognition algorithm for OFPS based on de-noising and reconstruction of wavelet analysis and feature analysis in time-space dimension is provided.Firstly,according to the feature analysis of the fiber vibration signal,the feature extraction based on wavelet de-noising and reconstruction is developed.Secondly,the gray image is disposed in time-space dimension.Finally,dilation and erosion method are employed to analyze this feature.The intrusion classification can be realized by this method.

Key words: optical fiber pre-warning system, wavelet reconstruction；grayscale corrosion, target recognition

QU Hongquan,WANG Xiaoxiao,BI Fukun,ZHENG Tong. Optical Fiber Vibration Recognition Based on Wavelet Reconstruction and Time-Space Features[J]. Journal of Jishou University（Natural Sciences Edition), DOI: 10.3969/j.cnki.jdxb.2017.02.007.

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