针对敌方雷达网的多干扰机协同干扰资源分配问题,提出了一种基于二维整数编码的改进布谷鸟(ICS)算法。首先,根据不同干扰样式在不同恒虚警检测器中的干扰效果差异,从压制概率公式出发,构建目标函数;然后,根据分配原则建立干扰资源分配模型;最后,利用ICS算法对模型寻优求解,并给出具体求解步骤。仿真结果表明:ICS算法收敛速度快,全局寻优能力强,能很好地解决雷达干扰资源协同优化分配问题。

In order to solve the problem of optimization assignment for cooperative jamming resources against radar network,an improved cuckoo search (ICS) algorithm is proposed. Firstly, to get the best jamming effect by using different types of jamming in different constant false alarm detectors,an objective function for allocating radar jamming resources is built,which is based on the calculation of the suppression probability formula. Then, the optimal distribution model of radar jamming resource is built according to the principle of distribution. Finally, ICS algorithm is applied to solve the model and the calculation steps are presented in detail. The simulation results show that ICS algorithm has satisfying global optimization performance and the convergence quality, which is applicable for the optimal distribution of radar jamming resource.

TN972

国家自然科学基金资助项目