摘要
针对大量在空中无秩序飞行的无人机有可能会闯入飞机场等禁飞区的情况,为了避免发生空中交通安全事故,提出了一种无人机禁飞区预警算法。首先,该算法经过坐标变换将描述无人机位置点的GPS坐标转换成对应的平面坐标;接着,采用改进的最小二乘曲线拟合算法预测出无人机的飞行轨迹;然后,通过计算预测的飞行轨迹曲线在当前点的切线是否会与描述禁飞区的电子围栏相交来判断无人机是否会进入禁飞区;同时,所有的无人机都会安装上飞行数据记录模块来实时地为该算法提供无人机的飞行状态信息。最后,通过MATLAB仿真实验验证了该预警算法的可行性和有效性,表明该算法可以对禁飞区周围的无人机进行预警。
Aiming at the situation that the unmanned aerial vehicles fly in the air without order and are likely to break into the airports or other no-fly zones,this paper proposed a new early warning algorithm for all the UAVs around the no-fly zone to avoid air traffic safety accidents.Firstly,this algorithm transformed the GPS coordinates of the UAV flight trajectory into the corresponding plane coordinates.Secondly,it modified the least squares curve fitting algorithm to predict the UAV flight trajectory.Thirdly,it predicted if the UAV would enter the no-fly zone by calculating directly whether the tangent line of the predicted UAV flight trajectory at the current point intersected with the electronic fence used to describe the no-fly zone.At the same time,this algorithm could acquire the flight state information of all the UAV in real time by equipping the flight data recorder modules to all of them.Lastly,this paper verified the feasibility and effectiveness of the proposed algorithm by MATLAB simulation experiment,and it indicates that the proposed algorithm can make an early warning for the UAV around the no-fly zone.
作者
闫斌
石凯
叶润
Yan Bin;Shi Kai;Ye Run(School of Automation&Engineering,University of Electronic Science&Technology of China,Chengdu 611731,China)
出处
《计算机应用研究》
CSCD
北大核心
2018年第9期2651-2658,共8页
Application Research of Computers
关键词
无人机
禁飞区
预警
轨迹预测
unmanned aerial vehicle
no-fly zone
early warning
trajectory prediction
