基于威胁联网模型的无人机航迹规划

摘要

针对威胁联网问题,首先定义了基于雷达探测概率和防空导弹目标航路捷径的威胁联网概率,建立了威胁联网模型,并改进航迹代价函数,采用同步元胞遗传算法进行了航迹规划.仿真结果表明,此方法规划出的航迹能有效提高威胁联网下的无人机突防的生存概率,为威胁联网下的航迹规划提供了一种新思路.%For the problem of threat netting, this paper defines threat netting probability which bases on target route shortcut of anti-aircraft missile and detection probability of radar. Then the threat netting model is established and the path cost func-tion is improved. Finally the path of unmanned aerial vehicle ( UAV) is planned by synchronous cellular genetic algorithm. The simulation results show that this method can improve the survival probability of unmanned aerial vehicle ( UAV ) and provide path planning with a new thinking in threat netting.