摘要
为了使有限的雷达干扰资源发挥最佳的干扰效果,以干扰机压制概率公式计算为基础,建立雷达干扰资源分配目标函数。先应用模拟退火算法优先分配威胁等级较大的雷达,将干扰压制概率较大的干扰资源进行优化分配,然后在此基础上,再对剩余的干扰资源进行二次模拟退火优化分配,以实现从可行的解空间中找出满足目标函数和约束条件的雷达干扰资源分配的全局最优方案解。仿真结果表明,该方法不仅有效、可行,而且能同时适用于"一对一"和"多对一"情况分配,对于设计和开发雷达干扰智能决策支持系统有一定的意义。
To get the best jamming effect by using limited radar jamming resources, an objective function for allocating radar jamming resources is buih, which is based on the calculation by the probability formula of jammer pressing . Firstly, a simulated annealing algorithm is used to give priority to distributing the radar at higher threat level, and the jamming resources with bigger jammer pressing probability are optimally allocated. And then, the same algorithm is applied in the rest jamming resources in order to find out the global optimal solution for allocating radar jamming resources from feasible solution space, which satisfies the objective function and constraint conditions. The simulated results indicate that this method is not only feasible and efficient, hut also suitable to the situation of ＂single jammer to single radar＂ and ＂multi-jammer to single-radar＂, and it has some guided significance for devising and developing the intelligent radar jamrning decision supporting system.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2009年第8期1914-1917,共4页
Systems Engineering and Electronics
基金
国防预研应用基础研究项目基金(A1420061266)资助课题
关键词
资源分配
雷达干扰
模拟退火
resource allocation
radar jamming
simulated annealing
