雷达辐射源信号一阶差分自相关特征提取  

Feature extraction of radar emitter signals based on autocorrelation function of first difference

作　　者：陈韬伟[1] 金炜东[2] 李杰[1] 

机构地区：[1]云南财经大学信息学院,昆明650221 [2]西南交通大学电气工程学院,成都610031

出　　处：《计算机工程与应用》2011年第26期143-145,155,共4页Computer Engineering and Applications

基　　金：国家自然科学基金No.60971103~~

摘　　要：在统计自相关函数的基础上,提出一种对雷达辐射源信号进行脉内特征提取的方法。利用一阶差分运算突出信号的调制特性;将差分的结果进行自相关计算,提取不同时延下自相关函数的包络特征;根据提出的基于距离的可分性判据对包络进行特征选择,得到具有最优可分性能的二维或三维特征向量。通过对7种典型辐射源信号的特征提取和分类进行仿真实验,结果表明提取的特征在低信噪比下仍具有较好的抗噪性和可分类性。This paper presents an approach for intra-pulse feature extraction of radar emitter signals based on the autocorrelation function.The envelop feature extraction of autocorrelation function involves the use of first difference operation of radar emitter signals,which can enhance the difference in modulation information.The criterion,defined as degree of separability,is used as two-dimensional or three-dimensional feature vectors selection.Experimental results demonstrate that the features of seven typical radar emitter signals extracted by autocorrelation function have good performance of noise-resistance and clustering when SNR（Signal Noise Ratio）varies from -5 dB to 0 dB.

关 键 词：雷达辐射源信号 一阶差分 自相关 

分 类 号：TN97[电子电信—信号与信息处理]