弹载雷达高分辨成像技术能够获取打击区域的高分辨率图像,为后续的目标跟踪、干扰识别提供保障,是一种有效的抗无源干扰手段。然而,在末制导阶段,目标往往位于雷达的正前方,此时无法采用合成孔径雷达技术实现成像,成像处理只能通过前视成像算法完成。而现有的前视两维成像算法只能获得三维空间中的距离向和方位向信息,无法获取俯仰向的信息。为了进一步获取目标的三维信息,提升雷达后续干扰识别、对抗性能,文中提出了一种基于二维超分辨处理的弹载阵列雷达前视三维成像算法。该算法首先通过二维自适应稀疏匹配技术获得每个快拍在方位-俯仰域的二维超分辨谱,随后根据雷达实时波束扫描中心位置完成信号的积累,最终获取目标前视区域的三维图像。文中采用多组仿真数据进行了验证,结果表明,该算法可以在单快拍条件下重构信号源的方位、俯仰信息,有效提升现有弹载雷达系统的前视三维成像分辨率。

The high-resolution imaging technique of missile-borne radar can obtain the high-resolution image of the attack area and provide guarantee for the follow-up target tracking and jamming recognition. It is an effective method to resist passive jamming. However, in the final guidance stage, the target is usually in front of the radar, so the synthetic aperture radar is invalid to achieve image, and imaging processing can only be completed by forward-looking imaging algorithms. The existing forward-looking two-dimensional (2D) imaging algorithm can only obtain the information of range and azimuth in three-dimensional (3D) space, but cannot obtain the information of the pitch angle. In order to obtain the 3D information of target and improve the performance of radar′s subsequent jamming recognition and countermeasure, this paper proposes a 3D forward-looking imaging algorithm for missileborne array radar based on 2D super resolution processing. It firstly obtains the 2D super resolution spectrum of each snapshot in the azimuth-pitch domain through the 2D adaptive sparse matching technique; then completes the signal accumulation according to the pointing direction of the real-time beam center, and finally gets the 3D forward-looking image of the target. Several sets of simulation data are used for verification in this paper. The results show that the algorithm can reconstruct the azimuth and pitch information of the signal source under the condition of single snapshot, and effectively improve the 3D imaging resolution of the existing missile-borne radar system.

TN957.52

广东省基础与应用基础研究基金资助项目