关键词: 入侵事件, 光纤振动信号, 特征提取方法, 识别方法

Abstract: The feature extraction and recognition method of optical fiber security monitoring system is the current research hotspot. The randomness, nonstationarity and similarity of various incident signals of optical fiber vibration signals cause false identification. The key to identify the types of intrusion event is signal feature extraction and efficient recognition. The characteristics extraction methods and recognition methods of optical fiber vibration signals are analyzed and compared. Feature extraction methods are divided into feature extraction based on wavelet decomposition, feature extraction based on other decomposition models and feature extraction based on waveform statistical parameters. The identification methods of optical fiber vibration signals are divided into empirical threshold recognition, support vector machine recognition and neural network recognition. Finally, the feature extraction methods and recognition methods are summarized and prospected.

Key words: invasion event, optical fiber vibration signal, feature extraction method, recognition method