【作者】 毕志超； 张依轩； 杨玉禾； 党晓杰；

【Author】 BI Zhichao;ZHANG Yixuan;YANG Yuhe;DANG Xiaojie;Shaanxi Key Laboratory of Large-scale Computation Electronmagnetic,Xidian University;

【机构】 西安电子科技大学陕西省超大规模电磁计算重点实验室；

【摘要】 如何准确测试一个飞机上单独部件自身的雷达散射截面(Radar Cross Section,RCS)特性,是隐身性能研究的一个重要方面。本文提出了一种基于逆合成孔径雷达(Inverse Synthetic Apeture Radar,ISAR)成像与改进聚类算法的部件RCS测量方法。本文以飞机为例,采用物理光学法(Physical Optics,PO)通过ISAR成像技术和散射点提取技术,获取飞机点散射模型。随后,使用了改进聚类算法对飞机点散射模型进行自动分类,最终实现了对飞机各部件RCS的准确测量,验证了本文方法的有效性。更多还原

【Abstract】 How to accurately test the Radar Scattering Section(RCS) characteristics of individual components on an aircraft itself is an important aspect of stealth performance research.In this paper,a component RCS measurement method based on Inverse Synthetic Apeture Radar(ISAR) imaging and improved clustering algorithm is proposed.In this paper,an aircraft point scattering model is obtained by ISAR imaging technique and scattering point extraction technique using Physical Optics(PO) as an example.Subsequently,an improved clustering algorithm was used to automatically classify the aircraft point scattering model,and finally the accurate measurement of the RCS of each aircraft component was achieved,which verified the effectiveness of the method in this paper.更多还原