摘要
弹道导弹识别是弹道防御系统中的核心问题之一,直接关系到导弹防御系统的成败。如果能对弹道目标成像,则能获得关于目标结构更为丰富的信息。由于弹道目标具有高速自旋的特点,因此基于转台模型的逆合成孔径雷达成像技术对高速自旋目标成像是失效的。针对该问题,详细分析了弹道目标回波模型,并研究了弹道目标时频图的调制规律,在此基础上,提出一种基于微多普勒信息的弹道目标成像方法,实现了对弹道目标二维强散射中心的重构,仿真数据处理结果证明了所提方法的有效性。
Ballistic missile recognition is a key problem in the ballistic missile defense system,which determines whether the anti-missile radar can recognize the warhead or not.If a ballistic target can be imaged,the richer information about the structure of the target can be obtained.Due to the high speed spinning characteristic of ballistic missile,the traditional ISAR imaging method based on the relative rotation of target and platform is not suitable for ballistic missile.Aiming at the problem,we first analyze the echo model of ballistic target,and then study the modulation effect of time-frequency distribution.Based on the above study,a new ballistic target imaging method based on micro-Doppler is proposed,and the 2 Dscattering distribution of ballistic target is reconstructed successfully.Simulation results show the validity and effectiveness of the proposed method.
出处
《雷达科学与技术》
北大核心
2017年第5期553-557,共5页
Radar Science and Technology
关键词
弹道目标成像
滑动散射中心模型
微多普勒
时频分析
ballistic target imaging
sliding scattering center model
micro-Doppler
time-frequency analysis
