提出了一种把矩阵分解应用于雷达目标的逆合成孔径雷达成像(ISAR)三维重构的方法。通过对目标运动场景建模，将目标的ISAR成像过程化，推导出图像序列中散射点二维位置坐标与原目标三维坐标的投影矩阵关系，利用正交投影下的矩阵分解基本方法，从观测矩阵中分解出原目标散射点的三维位置矩阵，进而实现目标的三维位置重构，仿真结果验证了该方法的有效性。%A matrix decomposition method is presented,which is applied to 3-D reconstruction of Inverse Synthetic Aperture Radar(ISAR) target. By the modeling of target motion in the scene, the ISAR imaging process of the target is given. The projection matrix of the relationship between two-dimensional position coordinates of scattering point in image sequence and the three-dimensional coordinates for original target is derived. By using the basic method of matrix decomposition based on orthogonal projection, the decomposition of 3-D position matrix for primary target scattering points from the observation matrix is realized, and then the 3-D position reconstruction for target is completed. The simulation results validate its effectiveness.
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