摘要
针对多干扰机如何有效干扰多部雷达并提高干扰机利用效率的问题,研究了干扰效果评估指标选取的评估准则,根据评估准则选择雷达发现概率作为评估干扰效果的指标函数;针对传统干扰策略分配算法——动态规划算法存在遍历寻找最优策略分配、无法适应多对多的干扰分配以及与一对多的策略分配相比计算量爆炸的问题,将遗传算法应用到干扰策略分配中,在粒子群算法中将模拟退火算法与之相结合。通过仿真分析,该方法既提高了收敛性也提高了收敛速度,并且提高了干扰机的利用效率。
The process of dynamic programming,an algorithm for cooperative interference strategy allocation,is described in detail.Aiming at the problem of searching for optimal strategy allocation,unsuitable formulti-to-many interference allocation,and explosion of computation in one-to-many strategy allocation,geneticalgorithm and particle swarm optimization are applied to interference strategy allocation.The problem of fastconvergence of these two intelligent algorithms is studied.The two algorithms are improved respectively.Simulatedannealing algorithm is combined with them in particle swarm optimization.Through simulation analysis,both convergence and convergence speed are improved.
作者
谯梁
杨帅
王鑫
陈飞
Qiao Liang;Yang Shuai;Wang Xin;Chen Fei(Scientific Research Department of CASIC,Beijing 100089,China;No.8511 Research Institute of CASIC,Nanjing 210007,Jiangsu,China)
出处
《航天电子对抗》
2019年第3期27-32,共6页
Aerospace Electronic Warfare
关键词
协同干扰
策略分配
遗传算法
粒子群算法
cooperative interference
resource allocation
genetic algorithm
particle swarm optimization
