基于多维特征的雷达信号脉内调制识别技术  

Intra-pulse modulation recognition of radar signal based on multi-dimensional features

作　　者：徐伟[1,2] 余建宇[1] 陈矛[1] XU Wei;YU Jianyu;CHEN Mao(Xi’an Electronic Engineering Research Institute,Xi’an Shaanxi 710100,China;College of Electronic Science and Engineering,National University of Defense Technology,Changsha Hunan 410073,China)

机构地区：[1]西安电子工程研究所,陕西西安710100 [2]国防科技大学电子科学与工程学院,湖南长沙410073

出　　处：《太赫兹科学与电子信息学报》2018年第1期81-86,共6页Journal of Terahertz Science and Electronic Information Technology

摘　　要：为了在复杂信号环境下能够稳定、准确地识别出信号,使用Choi-Williams时频分布作为信号描述方式,选取信号时频图像特征、信号波形复杂度和瞬时量特征组成特征矢量输入到以支持向量机(SVM)为主分类器的组合分类器中得到信号类型,并估计出信号各项参数。仿真实验表明该算法性能优良,在低信噪比(SNR)与信号参数变化的情况下可以以较高的识别率得到稳定的识别结果。In order to obtain the ability of identifying radar signals robustly and precisely in the complicated signal circumstance,radar signals are represented by using radar feature vectors consisting of the time frequency image feature,complexity feature and instantaneous quantity feature.The feature vectors are input into a combinational classifier whose main classifier is Support Vector Machine(SVM),and the signal parameters are estimated.Simulation result shows that the method has good performance,even in the rapid changing signal circumstance of low Signal to Noise Ratio(SNR).

关 键 词：调制识别 特征提取 分类器设计 时频图像特征 复杂度特征 瞬时量特征 

分 类 号：TN971[电子电信—信号与信息处理]