摘要
结合无人机的机动能力限制条件,研究了基于稀疏A*算法的无人机三维航迹规划。该算法有效修剪了搜索空间中的无用节点,缩短了航迹搜索时间。在搜索过程中,充分利用了三维地形信息,使算法生成的航迹能够自动回避地形和雷达威胁。最后通过三维航迹的可视化仿真,对生成的航迹进行了验证。
This paper studies the UAV three-dimensional route planning which is based on the sparse A* search.This algorithm prunes the useless node of search space and shortens the search time by incorporating the UAV maneuvering ability constrains.The three-dimensional topographical information terrain information is fully used during the search process,therefore the route generated by the algorithm can avoid terrain and threat automatically.Finally,the route is verified by three-dimensional route visual simulation.
出处
《火力与指挥控制》
CSCD
北大核心
2011年第7期72-74,共3页
Fire Control & Command Control
关键词
稀疏A*算法
三维航迹规划
可视化仿真
sparse A* search
three-dimensional route planning
visual simulation