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协同干扰资源优化分配模型及算法
引用本文:张养瑞,李云杰,高梅国.协同干扰资源优化分配模型及算法[J].系统工程与电子技术,2014,36(9):1744-1749.
作者姓名:张养瑞  李云杰  高梅国
作者单位:北京理工大学信息与电子学院, 北京 100081
摘    要:针对伴飞式干扰机编队对抗雷达网的应用背景,以组网雷达融合中心定位精度为目标函数,建立针对组网雷达系统的干扰资源优化分配模型。在此基础上充分利用突防过程的干扰机编队飞行航线信息,提出以“融合中心对航线各点定位精度的加权积分”为目标函数,建立基于突防过程的干扰资源优化分配模型。最后利用遗传算法求解上述模型的最优分配方法,并给出具体的求解步骤。仿真结果表明,该分配模型在干扰资源任务配置问题上具有很好的应用性,对提高干扰机编队的整体干扰效果有一定的可行性。


Optimal assignment model and solution of cooperative jamming resources
ZHANG Yang-rui,LI Yun-jie,GAO Mei-guo.Optimal assignment model and solution of cooperative jamming resources[J].System Engineering and Electronics,2014,36(9):1744-1749.
Authors:ZHANG Yang-rui  LI Yun-jie  GAO Mei-guo
Institution:School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Abstract:Considering that the conjugate jammer formation is used to resist against the radar net, taking positioning accuracy of the netted radar fusion center as the target function, a jamming resource optimum allocation model is established. Based on that, taking full use of the flight information of the jammer formation in penetration, a new allocation model based on the penetrating process is established. With ‘weighted integral of positioning accuracy in the fusion center’ as the target function then a multi-constrained genetic algorithm (GA) for optimizing the allocation of jamming resources is presented, and the selection operator, cross operator and mutation operator are designed concretely. The simulation result shows that the proposed modelis practical and effective, which is very valuable for improving the overall interference effect of the jammer formation in actual environment.
Keywords:
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