基于遗传算法的方向图综合及馈电网络优化设计

摘要

在对阵列天线进行方向图综合时,得到的激励分布用不等功分网络实现时常常出现功分比过大等问题。针对此问题,在利用遗传算法综合方向图时引入了评价功分网络的适应度函数,在对方向图影响很小的基础上,使馈电网络的最大功分比由4.06∶1降低为1.46∶1,减少了空气板线等形式的网络尺寸并降低了网络设计难度和成本。该优化设计方法已经得到实际应用,实现了较高的发射功率和超过25%的接收带宽。%When synthesizing radiation pattern of array antennas,exciting obtained is often difficult to implement with feed network because of problems such as large dividing ratio. To solve these problems, a genetic algorithm fitness function is introduced for evaluating feed network, by which the maximum dividing ratio is reduced from 4. 06 ∶1 to 1. 46 ∶1, and the size, designing difficul-ty and cost of network are decreased. The proposed design method is applied in some antenna and feeding system, and high power capability and bandwidth over 25% separately are obtained.