雷达干扰效果评估与协同干扰策略分配算法研究
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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 for multi-to-many interference allocation, and explosion of computation in one-to-many strategy allocation, genetic algorithm and particle swarm optimization are applied to interference strategy allocation. The problem of fast convergence of these two intelligent algorithms is studied. The two algorithms are improved respectively. Simulated annealing algorithm is combined with them in particle swarm optimization. Through simulation analysis, both convergence and convergence speed are improved.
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 for multi-to-many interference allocation, and explosion of computation in one-to-many strategy allocation, genetic algorithm and particle swarm optimization are applied to interference strategy allocation. The problem of fast convergence of these two intelligent algorithms is studied. The two algorithms are improved respectively. Simulated annealing algorithm is combined with them in particle swarm optimization. Through simulation analysis, both convergence and convergence speed are improved.
引文
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[3] Xin B,Chen J,Peng ZH,et al.An efficient rule based constructive heuristic to solvedynamic weapon-target assignment problem [J].IEEE Trans.on Systems,Man,Cybernetics A:Systemsand Humans,2011,41(3):598-606.
[4] 代新朋.雷达组网有源干扰资源分配方法研究[D].大连:大连理工大学,2014.
[5] Ma SM,Sun Y,Li AP.A simulated annealing algorithm for multi-objective hybrid flow shopscheduling[C]//proceedings of the International Conference on Design,Manufacturing and Mechatronics,Wuhan,Hubei,China,2015:1463-1473.
[6] Karaboga D.An idea based on honey bee swarm for numerical optimization[R].Technicalreport-tr06,ErciyesUniversity,Engineering Faculty,Computer Engineering Department,2005.