雷达辐射源信号小波变换特征提取方法  

Feature extraction of radar emitter signals based on wavelet transform

作　　者：陈韬伟[1,2] 朱明[3] 陈振兴[2] 

机构地区：[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

出　　处：《计算机工程与应用》2010年第6期245-248,共4页Computer Engineering and Applications

基　　金：国家自然科学基金(No.60572143);四川省教育厅资助科研项目(No.07ZB013)~~

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0dB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。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.

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 

分 类 号：TN97[电子电信—信号与信息处理]