| 改进经验模态分解算法在光纤布拉格光栅周界入侵行为分类中的应用 |
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| 引用本文： | 陈勇,安汪悦,刘焕淋,刘志强,周立新. 改进经验模态分解算法在光纤布拉格光栅周界入侵行为分类中的应用[J]. 中国激光, 2019, 0(3): 167-176 |
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| 作者姓名： | 陈勇 安汪悦 刘焕淋 刘志强 周立新 |
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| 作者单位： | 重庆邮电大学工业物联网与网络化控制教育部重点实验室;重庆邮电大学光纤通信技术信产部重点实验室 |
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| 基金项目： | 国家自然科学基金(61275077) |
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| 摘 要： | 为了解决周界入侵行为识别正确率低的问题,对经验模态分解算法进行改进,并将其用于光纤布拉格光栅周界入侵行为分类。该方法利用短时平均过零率从整体信号中提取入侵信号,采用两次极值波延拓抑制经验模态分解算法的端点效应,对入侵信号进行分解并提取有效分量的特征,引用支持向量机对入侵行为进行识别;在室外环境下分别对无入侵和攀爬、剪切、碰撞、触摸4种入侵行为进行分类与识别。结果表明,所提方法能有效识别不同的入侵行为,识别正确率大于96%。
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| 关 键 词： | 光栅 周界安防 经验模态分解 短时平均过零率 极值波延拓 光纤布拉格光栅 |
Application of Improved Empirical Mode Decomposition Algorithm in Fiber Bragg Grating Perimeter Intrusion Behaviors Classification |
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| Chen Yong,An Wangyue,Liu Huanlin,Liu Zhiqiang,Zhou Lixin. Application of Improved Empirical Mode Decomposition Algorithm in Fiber Bragg Grating Perimeter Intrusion Behaviors Classification[J]. Chinese Journal of Lasers, 2019, 0(3): 167-176 |
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| Authors: | Chen Yong An Wangyue Liu Huanlin Liu Zhiqiang Zhou Lixin |
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| Affiliation: | (Key Laboratory of Internet of Things and Networking Control Under Ministry of Education,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Key Laboratory of Fiber-Optic Communication Technology Under Ministry of Information Industry,Chongqing University of Posts and Telecommunications,Chongqing 400065,China) |
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| Abstract: | Chen Yong;An Wangyue;Liu Huanlin;Liu Zhiqiang;Zhou Lixin(Key Laboratory of Internet of Things and Networking Control Under Ministry of Education,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Key Laboratory of Fiber-Optic Communication Technology Under Ministry of Information Industry,Chongqing University of Posts and Telecommunications,Chongqing 400065,China) |
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| Keywords: | perimeter security empirical mode decomposition short time average zero-crossing rate extreme wave prolongation fiber Bragg grating |
| 本文献已被 CNKI 维普 等数据库收录！ |
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