一种抗电子干扰体系探测资源管控预案设计算法  

Detection of system-of-systems resource control plan design algorithm for anti-jamming

作　　者：段艳红[1] 丁建江[1] 彭思勇 许红波[1] DUAN Yan-hong;DING Jian-jiang;PENG Si-yong;XU Hong-bo(Air Force Early Warning Academy, Wuhan 430019, China)

机构地区：[1]空军预警学院,武汉430019

出　　处：《海军工程大学学报》2020年第1期62-69,101,共9页Journal of Naval University of Engineering

摘　　要：针对抗电子干扰体系探测资源管控预案设计问题,首先根据由多雷达组成的体系级预警装备探测资源管控与抗电子干扰任务的特点,考虑多种实际约束条件,构建了抗电子干扰体系探测资源管控预案设计模型;然后,为了解决该模型规模大和求解复杂的问题,提出了一种基于量子计算的改进杜鹃鸟搜寻优化算法;最后,实例验证了所提算法的有效性。实验结果表明:该算法相比传统算法收敛速度更快、寻优能力更强,为设计智能化的预案提供了一种方法和手段。Aiming at the design on detection of system-of-systems resource control plan problem for anti-jamming,First of all,by analyzing the characteristics that detection resource control of early warning equipment of system-of-systems involves many radars and anti-jamming tasks,and conside-ring all kind of constrains,a model of detection of system-of-systems resource control plan design for anti-jamming is constructed.And then,in order to solve the large-scale and complicated problem of the model,an improved cuckoo search optimization algorithm(CSOA)based on quantum computing is proposed.Finally,effectiveness of the proposed algorithm is verified by actual experiments.The result of experiment shows that the algorithm has higher convergence speed and better optimization capability than that of traditional algorithms,and thus it can provide the method and means for designing the intelligence plan.

关 键 词：雷达组网系统 资源管控 杜鹃鸟搜寻优化算法 量子计算 预案设计 

分 类 号：TN957[电子电信—信号与信息处理]