Meteorological clutter suppression method for ball-borne radar based on Kalmus filter

The Journal of Engineering

Xiaohan Zhang¹  Runhua Liu¹  Feng Wang¹  Yuwen Tang¹  Wentao Su¹ 

[1] Air Force Early Warning Academy;

关键词: autonomous aerial vehicles;    target tracking;    radar detection;    radar clutter;    marine radar;    radar antennas;    radar signal processing;    remotely operated vehicles;    uav target;    detection performance;    velocity-corrected kalmus filter;    radar echo;    detection method;    unmanned aerial vehicle target;    ball-borne radar;    meteorological clutter suppression method;   

DOI  :  10.1049/joe.2019.0738

来源: DOAJ

【 摘 要 】

Aimed at the problem that the unmanned aerial vehicle (UAV) target is difficult to be detected in the meteorological clutter because of their close velocity, a new detection method is proposed for the ball-borne radar based on Kalmus filter. Firstly, the radar echo is compressed by pulse compression. Then, the meteorological clutter is filtered out by the velocity-corrected Kalmus filter. Finally, CFAR is employed for detection. The simulation results show that this method can effectively suppress the meteorological clutter and improve the detection performance of the ball-borne radar to UAV target.

【 授权许可】

Unknown