从时间、空间、频率、能量四个方面对干扰效果进行定量描述,构建干扰效益矩阵,建立目标函数,并利用博弈论分析研究雷达有源干扰资源分配问题,证明了纳什均衡的可行性和存在性。基于最佳动态反应设计了集中式迭代干扰策略选择算法,基于学习自动机原理提出了分布式有限反馈干扰资源分配算法。仿真结果表明:文中提出的两种分配算法可以以很低的复杂度来获取一个很好的干扰性能,很好地解决干扰资源分配问题,对实际的指挥有一定的指导意义。

Jamming effects in the time, space, frequency, and energy are quantificationally described, the radar jamming effective matrix is built, the final objective function is determined and jamming resource allocation decision is solved using game theory,feasibility and existence of the Nash equilibrium (NE) in this game are proved. Furthermore, a centralized iterative jamming strategy selection algorithm based on optimal reaction criterion and a jamming resource distributed algorithm with limited feedback based on the concept of learning automata are presented. Simulation results show that two jamming strategies selection indicators proposed can get good performances with low complexity, they can be good solutions to the radar jamming resource allocation problem and has certain significance for actual operational command.

TN974;TN972+.1