外辐射源雷达与情报雷达的数据融合  

A Study on Data Fusion Technology of Passive Radar Based on External Emitters and Active Radar

作　　者：尹锦荣[1] 周琳[1] 

机构地区：[1]南京电子技术研究所,江苏省南京市210013

出　　处：《电子工程师》2008年第6期4-6,共3页Electronic Engineer

摘　　要：通过外辐射源雷达与情报雷达异地配置方式下的组网,利用外辐射源雷达生存能力强、反隐身隐蔽性能好、数据率高、测速精度较高等特征,可进一步提高对目标的定位精度及对隐身目标的探测能力。文中将基于"当前"模型的扩展卡尔曼滤波应用于外辐射源雷达与情报雷达的数据融合,仿真表明利用这两类雷达的互补特性,通过数据融合,滤波后得到的目标的定位精度及速度精度有大幅度提高。A study of the EKF algorithm based on current statistical model for dissimilar （ active radar and passive radar based on external emitters） sensors tracking is presented. Analyzes with the strong ability of survival and anti-stealth, high speed data rate, high precision target velocity, can achieve better tracking accuracy and tracking ability of covered target. Simulation results shows it can exploits the difference in uncertainty between these two dissimilar sensors located in different locations , promises significant improvements in target location accuracy and target velocity accuracy.

关 键 词：外辐射源雷达 多普勒频移 数据融合 扩展卡尔曼滤波 

分 类 号：TN951[电子电信—信号与信息处理]