Dynamic mainlobe interference suppression method based on monopulse with gray model Kalman filter

被引:0
作者
Feng, Li [1 ,2 ]
Zhe, Zhang [1 ,2 ]
Di, Yao [1 ,2 ]
机构
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
[2] Beijing Key Lab Embedded Real Time Informat Proc, Beijing 100081, Peoples R China
来源
JOURNAL OF ENGINEERING-JOE | 2019年 / 2019卷 / 20期
关键词
D O I
10.1049/joe.2019.0137
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The architecture and processing algorithm of mainlobe interference suppression method is described for nulling the signal from mainlobe electronic jammer and multiple sidelobe electronic jammers while maintaining monopulse angle estimation accuracy on the target. The existing mainlobe interference suppression method is based on monopulse Wiener filtering. However, the Wiener filtering is more suitable to remove static interference. Therefore, the authors present the dynamic mainlobe interference suppression method with Gray Model Kalman filter to resolve this problem. The simulations verify the proposed method.
引用
收藏
页码:6703 / 6707
页数:5
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