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

• Main Authors: Xiaohan Zhang, Runhua Liu, Feng Wang, Yuwen Tang, Wentao Su
• Format: Article
• Language: English
• Published: Wiley 2019-10-01
• Series: The Journal of Engineering
• Subjects: 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
• Online Access: https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0738

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.