摘要
在防空袭作战中,为了有效地降低敌机载雷达的探测能力,必须综合运用电子干扰措施实施电子干扰,干扰兵力分配直接影响干扰效果。结合防空袭作战的特点,提出了基于自适应遗传算法的雷达干扰系统兵力分配模型,并设计了既考虑到进化代数对算法影响,又考虑到每代中不同个体适应度对算法作用的自适应交叉概率和变异概率。仿真实例表明该方法可以有效解决雷达干扰系统兵力分配这一复杂而困难的问题。
The electronic jamming measures are used to decrease the detect ability of airborne ra-dar in air-raid combat. The jamming effectiveness is directly affected by the assignment of jam-ming force. According to the air-raid combat feature, a jamming force optimization apportion model is proposed based on an adaptive genetic algorithm. The adaptive crossover probability and adaptive mutation probability are proposed, which consider the influence of every generation to algorithm and the effect individual fitness in every generation. Finally, an example is given, which shows the feasibility of the proposed algorithm for handling the complicate and difficult problem of optimization apportion for jamming force.
出处
《电子信息对抗技术》
2014年第3期38-41,46,共5页
Electronic Information Warfare Technology
基金
国家自然科学基金资助项目(60974091)
关键词
雷达干扰系统
兵力分配
自适应遗传算法
交叉概率
变异概率
radar jamming system
force assignment
adaptive genetic algorithm
crossover probability
mutation probability
