基于支撑矢量机的智能目标识别方法  

Intelligent target recognition based on the support vector machine

作　　者：丁爱玲[1] 刘芳[1] 姚霞[1] 

机构地区：[1]西安电子科技大学计算机学院,陕西西安710071

出　　处：《西安电子科技大学学报》2001年第6期743-746,共4页Journal of Xidian University

基　　金：国家自然科学基金资助项目 ( 6 0 0 730 5 3)

摘　　要：支撑矢量机是一种能在训练样本数很少的情况下达到很好分类推广能力的学习算法 .文中将支撑矢量机的概念引入雷达的目标一维像识别中 ,对其机理作了详细地分析 ,建立了相应的支撑矢量机分类器算法 .对雷达目标的回波数据进行目标特征提取与分类的实验结果表明 。The support vector machine is a learning algorithm, which has a good classification ability for limited training samples. A novel SVM for the radar target recognition is proposed in this paper, the mechanism of SVM is particularly analyzed and the classification algorithm is established. It is shown that echo data of the radar target can be distilled and classified so that the classification of signal character is well improved with this algorithm.

关 键 词：支撑矢量机 雷达 智能目标识别 学习算法 

分 类 号：TN95[电子电信—信号与信息处理]