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Content Provider | IET Digital Library |
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Author | Feng, Li Zhe, Zhang Di, Yao |
Abstract | 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. |
Starting Page | 6703 |
Ending Page | 6707 |
Page Count | 5 |
Volume Number | 2019 |
e-ISSN | 20513305 |
Issue Number | Issue 20, Oct (2019) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/20 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0137 |
Journal | The Journal of Engineering |
Publisher | The Institution of Engineering and Technology |
Publisher Date | 2019-07-10 |
Access Restriction | Open |
Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
Subject Keyword | Adaptive Antenna Array Adaptive Signal Processing Antenna Array Architecture Array Signal Processing Detection And Tracking System Dynamic Mainlobe Interference Suppression Method Electromagnetic Compatibility Existing Mainlobe Interference Suppression Method Gray Model Kalman Filter Interference Interference Suppression Jamming Kalman Filter Mainlobe Electronic Jammer Military Radar Monopulse Angle Estimation Accuracy Monopulse Wiener Filtering Multiple Sidelobe Electronic Jammers Processing Algorithm Radar Equipment Radar Signal Processing Radar Theory Signal Processing And Detection Static Interference System And Application Wiener Filter |
Content Type | Text |
Resource Type | Article |
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