| 地震动信号的分析与目标识别(英文) |
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| 引用本文： | 聂伟荣,朱继南,郭亚军,夏虹.地震动信号的分析与目标识别(英文)[J].电子科技大学学报(社会科学版),2003(1). |
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| 作者姓名： | 聂伟荣 朱继南 郭亚军 夏虹 |
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| 作者单位： | 南京理工大学机械工程学院 南京210094
(聂伟荣，朱继南，郭亚军)，江苏省教育装备管理中心 南京210008(夏虹) |
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| 基金项目： | 国防预研基金资助项目
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| 摘 要： | 通过外场实验获得关于轮式车、履带式车的大量地震动信号,在时-频域应用多种方法对信号进行处理,得到相应的特征矢量。利用改进的BP网络对远距离的地震动信号进行目标识别,基于小波及小波包分解能量分布特征的识别率可达85%以上,这种特征矢量具有较好的可分性。
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| 关 键 词： | 地震动信号 目标识别 小波及小波包 特征矢量 |
Seismic Signals analysis And Identification |
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| Nie Weirong,Zhu Jinan,Guo Yajun,Xia Hong.Seismic Signals analysis And Identification[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2003(1). |
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| Authors: | Nie Weirong Zhu Jinan Guo Yajun Xia Hong |
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| Institution: | 1. Mechanical Engineering Institute of Nanjing University of Science and Technology Nanjing 210094 2. Manegement Center of Education Equipment of Jiangsu Province Nanjing 210008 |
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| Abstract: | Great deals of signals obtained from field-testing have been processed in time and frequency domain with Short Time Fourier Transform and wavelet package transform techniques. On the basis of far distance seismic signal, target recognition has been made by BP neural network, the result indicates that the recognition ratio is as high as 85% on the eigenvector of wavelet package decompose, and shows that the eigenvector of wavelet package decompose has better performance. |
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| Keywords: | seismic signal target identification wavelet and wavelet package eigenvector |
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