基于最小二乘估计的InISAR空间目标三维成像方法

InISAR系统能够在短观测时间内实现对目标的3维成像，在目标识别和分类中有广泛应用。但是ISAR成像平面不仅取决于目标相对雷达的空间位置，还和目标的运动情况有关。针对空间平稳运动目标，该文利用互相垂直的L型基线构成双通道InISAR系统，对各天线接收到的回波分别采用各自的参考距离进行聚焦处理，采用传统的距离-多普勒算法得到目标散射点2维像，通过提取各散射点的干涉相位和多普勒信息，采用最小二乘方法对目标的有效转动角速度大小和方向进行估计，进而估计出散射点的3维位置，实现目标3维成像。仿真实验验证了所提方法的有效性和鲁棒性。

Interferometric ISAR Imaging for 3-D Geometry of Uniformly Rotating Targets Based on Least Squares Estimation Method

Interferometric Inverse Synthetic Aperture Radar (InISAR) images are widely used for 3-D reconstruction of maneuvering targets in a short observation time. InISAR system is always used for target classification and recognition. Nevertheless, the image plane depends on the targets own motions and its relative position with respect to the radar. To overcome this problem, this paper proposes an InISAR system containing two baseline perpendicular to each other. The echo signal received by each antenna is focused by the respective reference range. The target angular velocity and Euler angle are estimated by using the interferometric phase with the least square method. Then, the scatterers 3-D coordinates are estimated. Simulation experiments show the effectiveness and robustness of the proposed method.