Unmanned Aerial Vehicle Path Planning Under Multi-radar Threatening Environment
Wei Zheng · Jisuanji gongcheng · 2011
According to the radar for unmanned aerial vehicle instantaneous detection probability model and motion characteristics of unmanned aerial vehicle,this paper presents an unmanned aerial vehicle path planning method based on improved Ant Colony Algorithm(ACA) and Voronoi diagram in order to minimize the path cost when unmanned aerial vehicle breaks through the threaten field with multiple radars.Compared with other three kinds of path planning methods in income fuel costs,threat path cost,total costs and computing time,this method has lower path cost and less computing time.