一种新的球载雷达气象杂波抑制方法  

New Method of Meteorological Clutter Suppression for Balloon-Borne Radar

作　　者：张小涵 刘润华[1] 汪枫[1] 宿文涛 ZHANG Xiao-han;LIU Run-hua;WANG Feng;SU Wen-tao(Air Force Early Warning Academy,Hubei Wuhan 430019,China)

机构地区：[1]空军预警学院

出　　处：《现代防御技术》2019年第5期120-126,136,共8页Modern Defence Technology

摘　　要：针对无人机慢速目标运动速度与气象杂波中心频率接近导致无人机在气象杂波中难以被检测到的问题,提出了基于卡尔马斯(Kalmus)滤波器的球载雷达无人机目标检测方法。该方法首先对雷达回波进行脉冲压缩和PD处理,再使用经过速度校正的Kalmus滤波器滤除气象杂波,最后利用二维恒虚警进行检测。仿真结果表明,在合适的气象条件和目标速度下,该方法能很好地抑制气象杂波,提高球载雷达无人机目标的检测性能。Aiming 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 balloon-borne radar based on Kalmus filter.Firstly,the radar echo is processed by pulse compression and PD.Then,the meteorological clutter is filtered out by the velocity-corrected Kalmus filter.Finally,the two-dimensional constant false alarm (CFAR) is employed for detection.The simulation results show that,under suitable meteorological conditions and target velocity,this method can be effective and improve the detection performance of the UAV targets.

关 键 词：球载雷达 气象杂波建模 无人机目标 杂波抑制 卡尔马斯滤波器 目标检测 

分 类 号：V279[航空宇航科学与技术—飞行器设计] TN957[电子电信—信号与信息处理]