无人机的协同侦察航路规划

无人机将成为侦察卫星、有人驾驶侦察机的重要补充与增强手段 ,成为未来战场上广泛应用的一种侦察工具。为了提高无人机 (U AV)的侦察效率 ,在执行侦察任务前必需规划设计出高效的无人机侦察飞行航路。针对这一问题 ,提出了一种侦察效率指标评估的计算方法 ,解决了航路规划中的侦察效率量化问题。考虑在大范围任务区域内进行侦察航路优化存在计算的复杂性和收敛等问题 ,采用遗传算法对侦察航路进行了优化处理。通过该方法得到的侦察航路可以有效地提高无人机的侦察效率。

Cooperative Reconnaissance Path Planning for UAV

UAV will be the supplemental and strengthening way for the satellite and manned aircraft in the reconnaissance missions.They will be widely used as the reconnaissance devices for military purpose in the future.To improve their efficiency,the highly effective path during their execution should be planned before the mission begins.Regarding the requirement of their efficiency,this paper presents a fast method to calculate efficiency index of each path,by which the quantity problem of the efficiency is solved.Considering the complexity and the convergence problems with the route planning in a large-scale mission area,a genetic algorithm is adopted to deal with the path efficiency,which bring the reconnaissance efficiency to its best.