摘要
本文提出一种基于正则变换的雷达目标成像识别方法。该方法首先将各个训练目标在不同方位角时的距离剖面像构成综合矩阵，并对之作正则变换建立正则子空间；然后将每类目标各方位的像向该子空间投影形成子像，并以其平均结果作为库目标的特征矢量。对未知目标，以其子像对库目标特征矢量的欧氏距离最小为分类准则，进行了识别模拟实验。
A novel approach of radar target recognition is proposed in this paper. This approach explores ucanon- ical analysis on a matrix formed by the range profiles of training targets in different aspect angles. A subspace is formed by this analysis. Projection of the range profile of a target into this subspace is called subprofile. The subpro- files of a training target in different aspect angles are averaged into a feature vector in a library for the target. Using the subprofile of an unknown target as feature vector for target recognition, experiments on the simulated data are run.
出处
《系统工程与电子技术》
EI
CSCD
1999年第3期31-33,59,共4页
Systems Engineering and Electronics
基金
电子科学院军事电子预研基金
关键词
目标识别
方位角
雷达图像
正则变换
Target recognition, Canonical transformation, Range profile of a radar target.
