【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。更多还原

【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-dimen- sional 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 advanta- geous to engineering application and capable of simplifying sorter.更多还原