| 杨正理,孙书芳.基于小波能量熵的光纤周界安防系统信号识别[J].光电子激光,2016,27(12):1328~1333 |
| 基于小波能量熵的光纤周界安防系统信号识别 |
| The signal identification of optical fiber perimeter security system based on wavelet energy entropy |
| 投稿时间：2016-02-25 |
| DOI： |
| 中文关键词: 传感器技术 光纤周界安防系统 小波变换 小波能量熵(WEE) |
| 英文关键词:sensor technique optical fiber perimeter security system wavelet transform wa velet energy entropy (WEE) |
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| 中文摘要: |
| 针对分布式光纤周界安防系统易受外界各种干扰导 致误报率高的问题,本文根据不同干扰源引起的系统输出信号在时频分布上的差异, 基于小波分析方 法建立小波能量熵(WEG)测度将这种差异表现为信号分解尺度上能量 分布的差异进行定量描述,实现对系 统输出信号进行特征提取和分类,可以有效区分外界轻微扰动、风雨等环境因素与 蓄意入侵所引 起的信号之间的差别,提高系统的准确性和实时性。实验结果表明:本文方法可以有效排除 非人为入侵的干扰,正确识别率高于93%,实验较低的 误报率。 |
| 英文摘要: |
| Distributed optical fiber perimeter security systems is vulnerable to external a nd has high false alarm rate. For characterizing the differences of the system output signal in the time-freq uency distribution caused by different vibration sources,the wavelet energy entropy (WEE) measu rement method is proposed based on wavelet analysis method. The WEE can descript the difference pe rformance of energy distribution quantifiably for signal decomposition scale,als o extract feature of the output signal and classify the output signal. The method can effectively distinguish the difference between the external envir onmental factors,such as mild disturbance,wind and rain,and the intentional invasion.The accuracy and real -time performance of the system is improved.The experimental results show that this method can evidently get rid of the non-intrusion disturbance,the system′s correction alarm rate is higher than 92%,and the false alarm rate is low. |
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