摘要
为了采取有效措施对敌通信系统进行干扰,一般采用地面电子干扰方式或机载电子干扰方式,而留空式通信干扰弹是近年来发展的一种新型投掷式干扰设备。在通信干扰应用中,经常需要使用多枚通信干扰弹对目标区域进行分布式无缝干扰覆盖。通信干扰弹如何分布才能使干扰弹数量最少,干扰覆盖面积最大,干扰信号的收信功率最强,这是一个比较复杂的多目标优化问题。采用遗传算法求解留空式通信干扰弹最优分布覆盖问题,并进行了算法的仿真。仿真结果表明,算法能够找到符合分布覆盖要求的干扰弹分布方案,并且算法本身具有较好的收敛性和稳定性。
In order to adopt the effective method to interfere enemy＇s communication system, electronic interference of ground based or airplane is usually used. Airdropped communication jammer shell is a kind of new-type pitched interference equipment recently. In the process of communication interference application, some communication jammer shells will be usually used to interference the target filed with distributed and seamless cover. How to distribute communication jammer shells can get least quantities, maximal interference cover area, and the highest receiving power, it is a complex multi-target optimization problem, in this essay, a genetic algorithm is used to solve the optimization distributed cover problem of communication jammer shells, and simulation of the algorithm has been given. The result of simulation indicates that algorithm can find the requisite distributed schema of communication jammer shells, and the algorithm has been provided with good astringency and stability.
出处
《火力与指挥控制》
CSCD
北大核心
2008年第8期65-68,共4页
Fire Control & Command Control
基金
国家高技术发展计划(863计划)项目
装备预先研究基金资助项目
关键词
留空式通信干扰弹
遗传算法
最优分布覆盖
系统仿真
airdropped communication jammer shell,genetic algorithm,optimization distributed cover,simulation
作者简介
黄迎春（1976-），男，辽宁瓦房店人，硕士，讲师，主要研究方向：电子对抗技术，系统仿真技术。
