应用二次过滤模型的干扰任务分配  

Implication of Secondary Filtration Model for Jamming Task Allocation

作　　者：呙鹏程 王星[1] 程嗣怡[1] 王玉冰[1] 

机构地区：[1]空军工程大学航空工程学院,西安710038

出　　处：《电讯技术》2018年第2期178-185,共8页Telecommunication Engineering

基　　金：航空科学基金(20152096019)

摘　　要：针对自卫电子对抗中干扰任务分配对资源使用效率的问题,以"一对一"干扰为例,首先构建了干扰任务分配流程,并建立任务程度模型与干扰任务过滤模型,通过二次过滤筛选得到对我方威胁度大且能够被有效干扰的目标;然后根据节约干扰资源的原则,建立以总干扰功率最小为目标函数的干扰任务分配模型;最后采用二进制GPSO(Genetic-Particle Swarm Optimization)算法进行求解,提高了得到最优解的收敛速度、精度以及全局搜索能力。仿真表明,提出的干扰任务分配模型可以较好地筛除威胁程度低及干扰程度小的目标,节约了不必要的资源从而提高了资源的利用率。For the problems of jamming resource efficiency in self-defense electronic countermeasures, tak-ing a “one to one冶 jamming for example,this paper establishes a flow of jamming task allocation f irs t ly,and builds task level model and jamming task f iltra t io n model to choose the specific targets by secondary f i lt ra -tion. Based on the principle of saving jamming resource,a jamming task allocation model is set up with the minimum jamming power. Final ly,the model is solved through binary Genetic-Particle Swarm Optimization （GPSO） to improve the rate of convergence,accuracy and global search capacity. Simulation result demon-strates that the proposed model can remove targets with low threat level and low jamming le v e l,and has im-proved the use ratio of jamming resources.

关 键 词：自卫电子对抗 干扰资源 任务分配 干扰任务过滤 粒子群算法 

分 类 号：TN97[电子电信—信号与信息处理]