基于学习自动机的雷达干扰资源分配研究

Optimal distribution of radar jamming resource based on learning automata

综合考虑干扰机干扰频率、干扰功率、干扰时机和干扰样式等干扰效果评估指标,构建干扰效益矩阵,建立目标函数,构建干扰资源分配博弈模型,并基于学习自动机原理提出了分布式干扰资源分配算法,求解出干扰分配决策。仿真结果表明,提出的分布式干扰资源分配算法能以很低的复杂度来获得很好的干扰性能,有效地解决了干扰资源分配问题,对实际作战指挥有一定的指导意义。

Considering the interference effect evaluation indicators such as jamming frequency,power,time and modes,the radar jamming effective matrix is built,the final objective function is determined and the game model of jamming resource allocation is established.Furthermore,a jamming resource distributed algorithm based on the concept of learning automata is presented and a strategy of resource assignment is solved.Simulation results show that the jamming strategy can get good performances with low complexity,it can be good solution to the radar jamming resource allocation problem and has certain significance for actual operational command.