计算机工程与应用2019，Vol.55Issue(3)：23-29,7.DOI:10.3778/j.issn.1002-8331.1807-0045
光纤安防监测信号的特征提取与识别研究综述
Review on Feature Extraction and Recognition of Optical Fiber Security Monitoring Signals
邹柏贤 1苗军 2逯燕玲3
作者信息
- 1. 北京联合大学 应用文理学院,北京 100191
- 2. 北京信息科技大学 计算机学院 网络文化与数字传播北京市重点实验室,北京 100101
- 3. 北京联合大学 应用文理学院,北京 100191
- 折叠
摘要
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.关键词
入侵事件/光纤振动信号/特征提取方法/识别方法Key words
invasion event/optical fiber vibration signal/feature extraction method/recognition method分类
信息技术与安全科学引用本文复制引用
邹柏贤,苗军,逯燕玲..光纤安防监测信号的特征提取与识别研究综述[J].计算机工程与应用,2019,55(3):23-29,7.
