空天预警研究学报2023，Vol.37Issue(6)：391-397,7.DOI:10.3969/j.issn.2097-180X.2023.06.001
一种基于多维特征的弹道目标识别方法
Ballistic target recognition method based on multi-dimensional features
摘要
Abstract
The traditional recognition methods based on target RCS sequence statistical features of target have an attenuated effectiveness for ballistic target recognition in current penetration techniques.In order to solve the aforementioned problem,a multi-dimensional feature recognition method for ballistic targets is proposed by extracting the multi-dimensional features that reflect the differences in ballistic target motion mechanism and frac-tal characteristics.The feature visualization result and recognition confidence result of simulation data show that the method proposed in the paper can better distinguish the real and fake warhead targets,significantly improving the recognition accuracy in complex interference scenarios.关键词
弹道目标识别/多维特征/运动机理/分形特性Key words
ballistic target recognition/multi-dimensional feature/motion mechanism/fractal characteristics分类
电子信息工程引用本文复制引用
张维,张福涛,张仕元..一种基于多维特征的弹道目标识别方法[J].空天预警研究学报,2023,37(6):391-397,7.
