期刊文献+

基于极化特征的雷达目标识别技术 被引量:14

Radar Target Recognition Based on Polarization Feature
下载PDF
导出
摘要 极化特性是雷达目标散射回波的重要特性之一,极化特征能够解析目标的粗细、大小、对称性等信息。随着雷达极化测量技术的逐步成熟,基于极化特征的雷达目标识别日益引起国内外学术界的高度重视。以电磁散射计算仿真的飞机模型为研究对象,在极化不变量理论基础上对这些飞机目标的极化特性进行了试验分析研究,以SVM为分类器,通过功率矩阵的迹和去极化系数可以实现对三个目标的区分。结果表明,该方法可以有效地将三个目标进行分类识别。 Polarization is one of the main target features. Polarization feature can reflect the thickness, size and symmetry of the target. With the improvement of polarization measurement technology, radar target recognition based on the polarization feature attracts many scholars' attention. This paper uses electromagnetic scattering computation to model aircrafts. Experiment analysis of the invariant properties of the polarization scattering matrix for the targets is given. SVM is used as a classifier. The trace of power scattering matrix and the depolarization coefficient are presented for target classification. The recognition results validate the effectiveness of theoretical analysis.
作者 宋新景
出处 《雷达科学与技术》 北大核心 2016年第1期39-44,53,共7页 Radar Science and Technology
关键词 雷达目标识别 极化散射矩阵 极化特征 极化不变量 radar target recognition polarization scattering matrix polarization feature polarization invariant
  • 引文网络
  • 相关文献

参考文献2

二级参考文献13

  • 1肖顺平,郭桂蓉,庄钊文,王雪松.基于本征极化的飞机目标识别[J].国防科技大学学报,1995,17(4):43-50. 被引量:6
  • 2陶勇,胡卫东,徐劲.基于轨道匹配和改进的空间目标识别方法[J].雷达科学与技术,2006,4(3):134-139. 被引量:5
  • 3黄培康,雷达目标特征信号,1993年
  • 4Pridotkas J J. ICBMS-Their Relevance to US Securityand the United States Air Force in the 21st Century,ADA424619[R]. Alabama: Air University Press Max-well AFB, 2003:l-40.
  • 5Isby D C. No Go-Ahead Yet for Russian Heavy ICBM[J]. Jane,s Missiles and Rockpts,2010,14(12) : 14-17.
  • 6Aydin A T. Strategic Missile Defense: A Threat toFuture Nuclear Arms Reductions [ R]. Monterey,USA: Arms Control Association, 2011 : 1-11.
  • 7Ingwersen P A, Lemnios W Z. Radars for BallisticMissile Defense Research [J]. Lincoln LaboratoryJournal, 2002, 12(2):245-266.
  • 8Crawford J F, Reed E W, Hines J J, et al. Ground BasedRada Prototype Antenna [C] // IEE National Conferenceon Antennas and Propagation, York, UK; [s. n.],1999:249-252.
  • 9Arii M, Zyl J J,Yunjin K. Adaptive Model-Based De-composition of Polarimetric SAR Covariance Matrices[J]. IEEE Trans on Geoscience and Remote Sensing,2011, 49(3):1104-1113.
  • 10Bickel S H. Some Invariant Properties of the Polari-zation Scattering Matrix [J]. Proceedings of theIEEE, 1965,53(8):1070-1072.

共引文献14

同被引文献201

引证文献14

二级引证文献24

相关主题

;
使用帮助 返回顶部