基于小波重构与时空二维特征的光纤振动识别

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

针对光纤预警系统提出基于小波重构降噪和时空二维域特征的光纤振动识别.分析光纤振源信号的特征,使用小波重构降噪处理算法对时域信号进行特征提取,并以灰度图展示其明显的特征,进而提出灰度图腐蚀识别算法.通过时空二维域特征分析处理识别方法,能够较好地分类识别入侵振源信号.

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 denoising 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.