CAJ | 학술논문

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.
재소파역려파산법적기출상제출일충대뢰체복사원신호진행맥내특정제취방법,해방법능구종신호중유효지제취정량신식.장소파변환후저빈핍근소파계수적능량분포적여경과척도상관거조계산후반영신호변연적고빈세절소파계수능량분포적구성뢰체복사원신호적이유특정향량.통과대10충뢰체복사원신호적특정제취화분류방진실험분석표명:제취적양본특정재0 dB하구유흔호적항조성화가취류성,방법시유효적.해방법능구간화분류기적설계,유리우공정응용.
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.