摘要
二维空时自适应处理(2D-STAP)技术联合方位空域信息和时域信息能够有效抑制机载雷达地杂波,实现地面动目标检测。因为气象目标运动速度相对较缓慢且存在多普勒展宽等问题,将2D-STAP技术应用于机载气象雷达抑制地杂波时,其效果并不理想。针对这一问题,本文在增加俯仰维度的基础上,将传统的2D-STAP扩展到时域-方位空域-俯仰空域三维,提出基于三维空时自适应处理(3D-STAP)算法来实现机载气象雷达地杂波抑制,利用该算法可以区分地杂波和气象目标的优点,从而很好地抑制地杂波。仿真实验结果表明:3D-STAP的地杂波抑制性能明显优于传统的2D STAP,是一种可行的机载气象雷达地杂波抑制方案。
Two-dimensional space time adaptive processing(2D-STAP)can effectively suppress ground clutter and detect ground moving target for airborne radar by combining azimuth-spatial and temporal information.However,the performance is not well when this technology is applied on the ground clutter suppression for airborne weather radar,due to the relatively sIowly moving meteoro-logical target and the existence of Doppler broadening problem.Aiming at this problem,another degree of freedom i.e.,the spatial domain in elevation is introduced and thus the traditional 2D-STAP is extended to a so called three-dimensional(3D)version,where“3D”includes time,azimuth,and elevation dimensions.Furthermore,the 3D-STAP algorithm is then proposed to suppress ground clutter for airborne weather radar.For meteorological target can be distinguished from ground clutter by this algorithm,the ground cltter can be suppressed well.Simulation results imply that the 3D-STAP over performs the traditional 2D-STAP in clutter suppression,and thereby is a feasible scheme for airborne weather radar.
作者
任郑江
吴迪
高铭阳
沈明威
朱岱寅
REN Zhengjiang;WU Di;GAO Mingyang;SHEN Mingwei;ZHU Daiyin(College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;Avic Leihua Electronic Technology Research Institute,Wuxi 214063,China;College of COmputer and Information Engineering,Hohai University,Nanjing 211100,China)
出处
《现代雷达》
CSCD
北大核心
2021年第2期11-19,共9页
Modern Radar
基金
南京航空航天大学研究生开放创新基金资助项目(kfj20190410)
工信部民机专项资助项目(MJ-2018-S-28)
国家自然科学基金资助项目(61671240)。
关键词
机载气象雷达
三维空时自适应处理
地杂波抑制
airborne weather radar
three dimensional space-time adaptive processing
ground clutter suppression
