Feature extraction of radar emitter signals based on wavelet transform

doi:10.3778/j.issn.1002-8331.2010.06.071

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (6): 245-248.DOI: 10.3778/j.issn.1002-8331.2010.06.071

• 工程与应用 • Previous Articles

Feature extraction of radar emitter signals based on wavelet transform

CHEN Tao-wei^1，2，ZHU Ming³，CHEN Zhen-xing²

1.School of Information Science & Technology，Southwest Jiaotong University，Chengdu 610031，China
2.School of Information，Yunnan Economy and Finance University，Kunming 650221，China
3.Chengdu University of Information Technology，Chengdu 610225，China

Received:2008-08-20 Revised:2008-10-05 Online:2010-02-21 Published:2010-02-21
Contact: CHEN Tao-wei

雷达辐射源信号小波变换特征提取方法

陈韬伟^1，2，朱明³，陈振兴²

1.西南交通大学信息科学与技术学院，成都 610031
2.云南财经大学信息学院，昆明 650221
3.成都信息工程学院控制工程系，成都 610225

通讯作者: 陈韬伟

Abstract

Abstract: This paper presents an approach for intra-pulse feature extraction of radar emitter signals based on wavelet transform domain filtering.It is efficient to obtain quantitative information from signals.The energy entropy from approximation coefficients of wavelet transform and the other energy entropy from inner-scale correlations denoise of detail coefficients are used as two-dimensional feature vector.Experiment results demonstrate that the features of ten typical radar emitter signals extracted by wavelet transform have good performance of noise-resistance and clustering when SNR is 0 dB.Moreover，the algorithm can be advantageous to engineering application and capable of simplifying sorter.

Key words: radar emitter signals, wavelet transform, inter-scale correlations denoise, feature extraction

摘要： 在小波域滤波算法的基础上提出一种对雷达辐射源信号进行脉内特征提取方法，该方法能够从信号中有效地提取定量信息。将小波变换后低频逼近小波系数的能量分布熵与经过尺度相关去噪计算后反映信号边缘的高频细节小波系数能量分布熵构成雷达辐射源信号的二维特征向量。通过对10种雷达辐射源信号的特征提取和分类仿真实验分析表明：提取的样本特征在0 dB下具有很好的抗噪性和可聚类性，方法是有效的。该方法能够简化分类器的设计，有利于工程应用。

关键词: 雷达辐射源信号, 小波变换, 尺度间相关性去噪, 特征提取

CLC Number:

TN97

CHEN Tao-wei^1，2，ZHU Ming³，CHEN Zhen-xing². Feature extraction of radar emitter signals based on wavelet transform[J]. Computer Engineering and Applications, 2010, 46(6): 245-248.

陈韬伟^1，2，朱明³，陈振兴². 雷达辐射源信号小波变换特征提取方法[J]. 计算机工程与应用, 2010, 46(6): 245-248.

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Feature extraction of radar emitter signals based on wavelet transform

雷达辐射源信号小波变换特征提取方法

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