物理学报2017，Vol.66Issue(12)：181-191,11.DOI:10.7498/aps.66.124206
基于综合特征的光纤周界安防系统高效入侵事件识别
High-efficiency intrusion recognition by using synthesized features in optical fiber perimeter security system
摘要
Abstract
In an optical fiber perimeter security system, due to the fact that a large quantity of samples are collected in the pro-cess of data acquisition, this heavy data burden inevitably degrades the efficiency and accuracy of intrusion recognition. Hence, it is urgent to remove the redundancy of the collected data records, which essentially requires to describe event features in a concise and proper way. In this paper, we propose a synthesized feature based intrusion recognition method, which is especially suitable to describing the fiber intrusion vibration signals with both wide bandwidth and high nonsta-tionarity. Firstly, the all-phase filter bank characterized by large sidelobe attenuation and high flexibility of coefficient configuration, is employed to parallelly divide the input signal into multiple frequency channels, from which the power values can be accurately calculated. Secondly, the crossing rate of the input signal is combined with these power values to construct a synthetical feature vector, in which both the time-domain information and frequency-domain information are incorporated together. Finally, these synthetical feature vectors are fed into a radial-basis-function network based classifier to recognize 4 common intrusions (climbing, knocking, waggling and cutting). Essentially, the high efficiency of our proposed scheme lies in the parallel pipeline mode of the configurable filter bank and simple calculation of features, which facilitates speeding up the intrusion recognition. The high accuracy of our proposed scheme lies in two aspects:1 the all-phase filter bank possesses small inter-channel interference, which helps to reduce the inter-coupling between output power values; 2 the synthesis of both frequency-domain information and time-domain information ensures the completeness of feature description. Experiments show that the sensing range of the proposed scheme can reach 2.25 km. Moreover, compared with the empirical mode decomposition based method, the proposed method not only improves the precision, but also significantly speeds up the recognition.关键词
光纤周界安防/入侵事件识别/综合特征/滤波器组Key words
optical fiber perimeter security/intrusion recognition/synthesized features/filter bank引用本文复制引用
黄翔东,张皓杰,刘琨,马春宇,刘铁根..基于综合特征的光纤周界安防系统高效入侵事件识别[J].物理学报,2017,66(12):181-191,11.基金项目
国家自然科学基金(批准号:61671012, 61475114)资助的课题. Project supported by the National Natural Science Foundation of China(Grant Nos. 61671012, 61475114). （批准号:61671012, 61475114）
