基于组网雷达的空间旋转对称进动目标三维重构

Three-dimensional reconstruction for spatial precession targets with rotational symmetry in radar networks

对于空间旋转对称进动目标,单部雷达成像仅能获得目标在雷达视线(line of sight,LOS)方向的一个切面,无法反映目标真实的三维结构,同时进动增加了成像的复杂度。利用组网雷达多视角观测的特点,提出一种基于组网雷达的旋转对称进动目标三维重构方法。首先建立了旋转对称进动目标的回波模型;在估计视线-轴线夹角的基础上,采用复数逆投影方法实现进动目标的二维成像,并分析了允许的夹角误差范围;基于分布式雷达二维图像,提出一种适用于旋转对称目标的三维重构方法,通过对各二维图像进行空间定标、匹配融合、强点检测和曲线圆拟合,最终实现目标的三维重构;最后通过仿真实验初步验证了该方法的有效性。

For the spatial precession targets with rotational symmetry,the image got in monostatic radar is only a section of targets in the line-of-sight （LOS）, which cannot reflect the real 3-D structure. And the precession makes it more complex. Profited from the multi-view in radar networks, a 3-D reconstruction method for precession targets with rotational symmetry is proposed, based on radar networks. The echo model of precession targets with rotational symmetry is established firstly. On the basis of estimating the angle between LOS and the target＇s symmetry axis, 2-D image of precession targets is got with complex-valued back projection, and the allowed angle error range is analyzed. Based on 2-D images from radar, a 3-D reconstruction method for targets with rotational symmetry is proposed, which realizes target＇ s 3-D reconstruction through 2-D images＇ space calibration, matching fusion, strong scatter diction and circular curve fitting. Simulation results indicate that the method is valid.