期刊文献+

水面无人艇编队雷达电磁环境预测方法 被引量:3

Prediction for radar electromagnetic environment of unmanned maritime vehicle formation
下载PDF
导出
摘要 水面无人艇编队自主式协同联合作战是未来海军作战的主流趋势和新型样式。无人艇编队中用于电子战、通信、导航、警戒、态势感知的传感器种类和数量急剧增多,射频集成度也越来越高,迫使水面无人艇雷达电磁环境与单艘艇相比复杂度更高。本文提出一种水面无人艇雷达电磁环境新型预测方法,构建雷达电磁环境综合场强及其功率密度、主波束辐照叠加空间的数学模型,并设计开发了水面无人艇雷达电磁环境综合场预测计算程序。研究结果表明,水面无人艇编队雷达电磁环境综合场功率密度随着天线辐射功率、增益、无人艇数量的增加而增大,随着艇间距的增大而减小。 Autonomous cooperative joint operation of surface unmanned maritime vehicle(UMV)formation is the main trend and new style of naval operations in the future.The types and number of sensors used in electronic warfare,communication,navigation,alert and stiuational awareness have increased rapidly in the formation of UMV,and the radio frequency integration has become increasingly high,forcing the radar electromagnetic environment(EME)among surface UMV to be more complex and hostile than that among a single vessel.In this paper,a new prediction method of radar EME for surface UMV is introduced in detail.Mathematical models of radar EME comprehensive field intensity,power density and main beam irradiation superposition space have been developed,from which a program of radar EME comprehensive field prediction for UMV is designed,which provides technical support for the electromagnetic environment assessment and conducts a foundation for the database construction technology of surface UMV formation.It can be concluded that the power density of the radar EME comprehensive field increases with the radiated power,the gain and the number of unmanned ships,but decreases as the distance between two warships.
作者 石昕阳 王彦碧 郭露露 江传华 SHI Xin-yang;WANG Yan-bi;GUO Lu-lu;JIANG Chuan-hua(The 722 Research Institute of CSIC,Wuhan 430205,China;Beijing Dohitech Science and Technology Co.,Ltd.,Beijing 100097,China)
出处 《舰船科学技术》 北大核心 2019年第23期99-102,112,共5页 Ship Science and Technology
关键词 水面无人艇编队 雷达 电磁环境 数学模型 unmanned maritime vehicle formation radar electromagnetic environment mathematical model
  • 相关文献

参考文献2

二级参考文献4

共引文献78

同被引文献20

引证文献3

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部