| The technology of configuration reconstruction and quality assessment for non-cooperative space targets has great demand in aerospace and military fields,which is mainly reflected in the aspects of in-orbit satellite maintenance,abandoned satellite cleaning and enemy satellite capture.The technology has been widely concerned by relevant leading units in various countries.Linear array lidar has become the most advantageous space target measurement load because of its strong anti-jamming ability,long measuring distance and small external influence factors.Therefore,the measurement of non-cooperative space targets based on linear array lidar has become a research hotspot in various countries to achieve 3D(three dimensional)target morphology recovery and accuracy verification of configuration reconstruction.However,there are still some key problems to be solved in the research process.The main research contents of this paper are as follows for the reconstruction and quality assessment of non-cooperative targets in space measurement based on linear array radar:Firstly,the working principle of linear array lidar is analyzed and the coordinate system of the whole measurement system and its transformation relationship are established.According to the known parameters of the radar and the environment of the space non-cooperative target,a simulation experimental system was established to scan and obtain the viewable point cloud data under different viewing angles of N frames.The motion characteristics of non-cooperative objects in space were analyzed,and the mathematical models of spin motion and nutation motion were built.The distortion analysis and recovery of the point cloud data of the above scanning frames were carried out.ICP(Iterative Closest Point)Point cloud registration algorithm was used to solve the pose of the scanning data at different moments to obtain the increment of rotation and translation movement among each scanning frame.By using the obtained point cloud registration results,the 3D topography of the target is restored by using the inversion reconstruction theory,and the 3D point cloud data of the target is obtained.Secondly,the reconstruction quality evaluation system was established for the two spatial targets with known configuration and unknown configuration.For the targets with known configuration,the accuracy of the reconstructed point cloud data was evaluated by using two methods,point cloud precision and global similarity,to judge whether the reconstruction results met the requirements.For targets with unknown configuration,point cloud density,reconstructed geometric properties and surface integrity were used to evaluate the accuracy of reconstructed point cloud data,and a multi-factor comprehensive evaluation mathematical model was established based on the above three evaluation methods to obtain the overall reconstruction satisfaction results.Finally,MATLAB and VS(Visual Studio)software were used to verify and analyze the above research contents and methods,and the overall simulation experiments were carried out from five aspects of point cloud data acquisition,distortion analysis and recovery,point cloud registration,configuration reconstruction and quality assessment system.The results show that the method of configuration reconstruction and quality assessment proposed in this paper is accurate and feasible.Meanwhile,the software integration of configuration reconstruction and part of quality assessment algorithm in the system model is carried out through GUI module in MATLAB. |
