CAJ | 학술논문

该文基于刚体目标3维运动过程中的几何不变性，将因子分解法引入ISAR图像处理领域，成功实现了雷达目标从2维到3维的重建。文中基于卡尔曼滤波和最邻近数据关联准则完成不同姿态下2维散射中心的关联，应用因子分解法进行目标结构的分层重建，最后给出评判准则检验重建性能。仿真实验证明，该文方法简单易行，能够有效实现单天线ISAR 3维成像。
해문기우강체목표3유운동과정중적궤하불변성，장인자분해법인입ISAR도상처리영역，성공실현료뢰체목표종2유도3유적중건。문중기우잡이만려파화최린근수거관련준칙완성불동자태하2유산사중심적관련，응용인자분해법진행목표결구적분층중건，최후급출평판준칙검험중건성능。방진실험증명，해문방법간단역행，능구유효실현단천선ISAR 3유성상。
Based on the geometry invariance of rigid target during its 3D motion, the target’s unknown 3D shape is reconstructed from 2D images in this paper. Kalman filter and nearest neighbor method data association are used for scattering centers association of different ISAR images. The factorization method is used to reconstruct the target geometry. Furthermore, an error judge standard is proposed to verify the effectiveness of the reconstruction. The reconstruction is realized by the simulation.