基于遗传算法的载体上共形天线阵列优化  

Optimizing design of conformal antennas array on platform with GA method

作　　者：欧阳骏[1] 杨峰[1] 聂在平[1] 赵志钦[1] 

机构地区：[1]电子科技大学电子工程学院,四川成都610054

出　　处：《电波科学学报》2008年第2期356-359,共4页Chinese Journal of Radio Science

基　　金：国家自然科学基金资助项目(No10476005;60771042)

摘　　要：基于载体上共形天线相控阵列的优化综合由于计算时间长,一般不会采用GA方法优化,主要原因就是个体适应度的计算通常需要对整个天线阵列进行一次全波分析。但是本文预计算单元在阵列环境中方向图,利用相控阵理论中的单元在阵列环境中的方向图直接叠加的方法,计算个体适应度,可以大大加快求解个体适应度的速度,为直接使用GA方法优化共形天线阵列提供了可能。该方法既考虑了载体的影响又考虑了单元之间耦合的影响。通过数值实验可以看出,该方法能够大大的加快优化速度,而且优化结果与全波分析的结果能够很好的吻合。Usually genetic algorithm （GA） is not applied for the optimization of conformal antenna arrays mounted on platform because of its large computational time. The main reason is that every individual fitness calculation needs a full-wave calculation for the whole array. In this paper, we calculate the patterns of the ele- meats in the environments of array at the beginning, then find the individual fitness based on the theory of phased array in which array patterns are obtained by adding the patterns of the elements in the environments of array. By using this strategy, we can save lots of computational time. This provides the possibility for using GA in the optimization of conformal antenna arrays. This method takes not only the platform effects into account, but also the coupling effects among the elements. This method greatly improves the speed of optimization. And the numerical simula- tions show good agreement between this method and the full-wave method.

关 键 词：遗传算法 共形天线阵 载体 相控阵 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]