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Modeling and analyzing point cloud generation in missile-borne LiDAR
Defence Technology ( IF 5.1 ) Pub Date : 2019-10-18 , DOI: 10.1016/j.dt.2019.10.003
Min-le Li , Yi-hua Hu , Nan-xiang Zhao , Qi-shu Qian

The missile-borne LiDAR has an essential prospect in precise guidance. However, the instability of the missile has a significant impact on the precision of LIDAR point cloud, thus modeling and analyzing the influencing factors of point cloud generation is necessary. In this investigation, the authors modeled the point cloud calculation process of missile-borne linear array scanning LiDAR under ideal conditions and analyzed the effect of position change on the field of view (FOV) in the course of platform motion. Subsequently, the authors summarized that the stability concerning the field of view and the target tracking are dependent on three limiting conditions. Finally, the authors derived an error formula and analyzed several typical errors in missile platform flight, including scanner error, POS error, system integration error, and platform vibration error. Based on theoretical analysis and simulation experiments, the model proposed in this paper can provide a theoretical basis for the design of the missile-borne LiDAR system and the selection of related instruments in practice.



中文翻译:

导弹LiDAR的点云生成建模与分析

导弹LiDAR在精确制导方面具有重要的前景。但是,导弹的不稳定性对激光雷达点云的精度有重要影响,因此需要对影响点云生成的因素进行建模和分析。在这项研究中,作者对理想条件下的导弹线性阵列扫描LiDAR的点云计算过程进行了建模,并分析了平台移动过程中位置变化对视场(FOV)的影响。随后,作者总结说,关于视野和目标跟踪的稳定性取决于三个限制条件。最后,作者得出了一个误差公式,并分析了导弹平台飞行中的几种典型误差,包括扫描仪误差,POS误差,系统集成误差,和平台振动误差。在理论分析和仿真实验的基础上,本文提出的模型可以为导弹载激光雷达系统的设计和实际选择相关仪器提供理论依据。

更新日期:2019-10-18
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