合肥工业大学电气与自动化工程学院
纸质出版:2016
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[1]朱程辉,左冬森,王建平.基于Sagnac传感器的周界安防入侵信号识别[J].传感器与微系统,2016,35(01):19-21+28.
ZHU Cheng-hui, ZUO Dong-sen, WANG Jian-ping. Intrusion signal recognition of perimeter security based on sagnac sensor[J]. 2016, 35(1): 19-21+28.
[1]朱程辉,左冬森,王建平.基于Sagnac传感器的周界安防入侵信号识别[J].传感器与微系统,2016,35(01):19-21+28. DOI: 10.13873/J.1000-9787(2016)01-0019-03.
ZHU Cheng-hui, ZUO Dong-sen, WANG Jian-ping. Intrusion signal recognition of perimeter security based on sagnac sensor[J]. 2016, 35(1): 19-21+28. DOI: 10.13873/J.1000-9787(2016)01-0019-03.
针对光纤安防周界系统采集信号的非线性、非平稳性、间歇性等特点
给出了一种入侵振动信号分帧方法。采用嵌入维数计算方法
在保留时间序列信号的内在动力学特性条件下以确定最小分帧长度。利用短时能量和短时平均过零率双条件判断识别振动信号
再进行小波分解
比较各层小波系数能量分布特征
通过二级判定识别降低入侵振动信号误识率。实验结果表明:该方法可行有效
能准确判定识别入侵振动信号。
Aiming at characteristics of nonlinear
nonstationary and intermittent of signal acquired by fiber security perimeter system
give a framing method for invasive vibrant-signal. Embedding dimension number calculation method is used to determine the minimum framing length
in condition of keeping inherent dynamics characteristics of time sequence signal. Use two conditions
which are short-time energy and short-time average zero-crossing rate to judge and recognize vibration signal. After wavelet decomposition
compare energy distribution character of wavelet coefficients of each layer
reduce rate of error recognition of intrusion vibration signal through two levels of identification. Experimental results show that
the method is feasible and effective
it can accurately identify invasion vibration signal.
基于时频特征的光纤周界振动信号识别 [J]. 朱程辉,瞿永中,王建平. 光电工程 . 2014(01)
光纤周界安防系统端点检测技术的研究 [J]. 吴红艳,贾波,卞庞. 仪器仪表学报 . 2013(04)
安防系统光纤信号特征提取与分类算法研究 [J]. 万遂人,彭丽成. 科技导报 . 2012(36)
分布式光纤传感器的周界安防入侵信号识别 [J]. 罗光明,李枭,崔贵平,钟喆. 光电工程 . 2012(10)
单轴分布式光纤传感器管线泄漏探测方法及定位理论分析 [J]. 谭靖,陈伟民,朱永,王丁. 光子学报 . 2006(02)
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