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

Abstract

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.

Keywords

• 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