基于重叠联盟博弈的无人机侦察时间资源分配优化

Optimization of UAV Reconnaissance Time Resource Allocation Based on Overlapping Alliance Game

在利用多无人机进行多目标侦察时,需要进行合理的任务分配。优化无人机资源与任务重要程度之间的关系,才能充分发挥多无人机侦察的优势。为了实现多无人机协同侦察时的时间资源分配优化,首先根据任务点和无人机的位置分布情况对多无人机进行预分配,然后对预分配后的空闲无人机进行协同时间资源优化。将空闲无人机协同时间资源分配问题建模为重叠联盟博弈模型,通过对所构建模型的求解,得出多无人机的协同侦察时间资源分配方案。仿真结果表明,优化时间资源后侦察系统的收益得到了提升。

When using multiple unmanned aerial vehicles(UAVs)for multi-target reconnaissance,it is necessary to carry out reasonable task allocation.Optimizing the relationship between UAV resources and mission importance can give full play to the advantages of multiple UAVs reconnaissance.To realize the optimization of time resource allocation in multiple UAVs cooperative reconnaissance,according to the location distribution of mission points and UAVs,the multiple UAVs are pre-allocated,and then the cooperative time resources of the idle UAVs are optimized.The idle UAV cooperative time resource allocation problem is modeled as an overlapping alliance game model.By solving the model,the cooperative reconnaissance time resource allocation scheme of multiple UAVs is obtained.The simulation results show that the revenue of reconnaissance system has improved after optimizing time resources.