空间失稳目标线阵雷达成像机理及三维重建

利用线阵激光雷达载荷小、抗干扰能力强等优势，研究空间失稳目标动态测量技术。探究线阵激光雷达成像机理，建立空间失稳目标运动模型，提出基于双切片法的目标可测区域提取机制，实现线阵激光雷达对空间失稳目标的驻留观测扫描；以ICP(Iterative closest point)配准结果为先验信息，提出逆序重建方案，建立重建点云精度以及平均密度评价机制，分析数据冗余对重建精度的影响，采用采样降维的方法进行配准重建计算，提高重建结果精度；最后进行仿真实验检验分析，实验结果表明空间目标可测部位数据提取合理准确，数据输出频率可达 1 Hz ，重建结果满足任务指标要求，重建点云平均密度达到19 mm，重建点云精度达到90 mm，为地面验证及在轨应用提供数据支撑和参考。

Linear Array Lidar Imaging Mechanism and 3D Reconstruction for Space Instable Targets

Using the advantages of linear array lidar with small load and strong anti-interference ability, the dynamic measurement technology of space instable targets is studied. Firstly, the imaging mechanism of linear array lidar is explored. Linear array lidar’s resident observation scanning mechanism for space instable targets is implemented. A space instable target motion model is established, and a target measurable region extraction mechanism based on the Double-slice method is proposed. Then, using the ICP (Iterative closest point) registration results as the prior information, a reverse order reconstruction scheme is proposed. Next, the accuracy of the reconstructed point cloud and the average density evaluation mechanism are established. The influence of data redundancy on reconstruction accuracy is analyzed. To improve the accuracy of the reconstruction results, the method of sampling and dimensionality reduction to perform the registration reconstruction calculations is adopted. Finally, the simulation experiment is performed to verify the analysis. The experimental results show that the data extraction of the measurable parts of the space target is reasonable and accurate, and the data output frequency is 1 Hz. The reconstruction results meet the task index requirements. The average density of the reconstructed point cloud is 19 mm. The accuracy of the reconstructed point cloud is 90 mm. The research provides data support and reference for ground verification and on-orbit applications.