| 基于Volterra级数的核爆地震参数化非线性特征提取方法 |
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| 引用本文： | 韩绍卿,李夕海,伍海军,刘代志.基于Volterra级数的核爆地震参数化非线性特征提取方法[J].爆炸与冲击,2011,31(3):237-242. |
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| 作者姓名： | 韩绍卿 李夕海 伍海军 刘代志 |
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| 作者单位： | 第二炮兵工程学院,陕西西安,710025;第二炮兵工程学院,陕西西安,710025;第二炮兵工程学院,陕西西安,710025;第二炮兵工程学院,陕西西安,710025 |
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| 摘 要： | 地震时间序列的模型参数可以作为核爆地震信号识别的特征.现有基于ARMA( autoregressive moving average)模型参数的地震信号特征提取方法是一种线性方法,且只利用了信号的二阶统计信息,识别精度不高.为此,利用地震波的混沌特性,提出了一种核爆地震非线性特征提取方法:首先对地震波信号进行相空间重构...
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| 关 键 词： | 爆炸力学 特征提取 非线性 Volterra级数 混沌 核爆地震 |
Parametric and nonlinear feature extraction of nuclear explosions and earthquakes based on Volterra series |
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| HAN Shao-qing,LI Xi-hai,WU Hai-jun,LIU Dai-zhi.Parametric and nonlinear feature extraction of nuclear explosions and earthquakes based on Volterra series[J].Explosion and Shock Waves,2011,31(3):237-242. |
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| Authors: | HAN Shao-qing LI Xi-hai WU Hai-jun LIU Dai-zhi |
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| Institution: | 1.Xi’anHi-TechInstitute,Xi’an710025,Shaanxi,China |
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| Abstract: | ARMA parameters can be used as features for discrimination between nuclear explosions and earthquakes.Current methods for feature extraction are linear and only takes advantage of the second-order statistic,so the classification accuracy of is not high.To solve this problem,a method for extracting nonlinear features of nuclear explosions and earthquakes was proposed based on the chaotic feature of seismic waves.Firstly,the phase space of seismic waves was reconstructed.Secondly,the adaptive prediction model... |
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| Keywords: | mechanics of explosion feature extraction nonlinearity Volterra series chaos nuclear explosions and earthquakes |
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