基于遗传算法的栅格天线阵旁瓣电平优化方法

内容简介：在推导出栅格天线阵列方向图的基础上,提出一种基于遗传算法的栅格天线阵旁瓣电平优化的方法。此方法首先简化栅格天线阵物理模型,给出等效模型下的阵列方向图,然后以栅格天线阵的短边电流幅度为优化参量,以阵列天线方位面的副瓣电平为适应度函数,利用遗传算法的最优化搜索得到满足副瓣要求的电流幅度,再通过电流幅度计算辐射单元阻抗,最终设计出满足要求的低旁瓣栅格天线阵。为了验证该方法的有效性,对一种频扫微带栅格天线进行了优化,在电磁仿真软件中对优化后的天线进行了仿真,根据设计结果加工制作了原型天线并进行了测试,测试结果显示优化后天线阵的副瓣电平降低了5dB,优化效果明显。

Abstract：An optimization method which is based on Genetic Algorithm（GA） for sidelobe reduction of wire grid array antenna is proposed.In this method,a model to analyze the far-field of the wire grid array antenna is reported.Current amplitudes which fit the designed sidelobe are obtained by GA.Current amplitudes of each short side are treated as variables and sidelobe level in azimuth plane is treated as fitness function of GA.Then the current amplitudes are used to calculate the impedances of each short side so as to design the array.At last,in order to verify the proposed method,an optimized wire grid array antenna is simulated by the electromagnetic simulating software.A prototype antenna is fabricated and tested.Results show that the sidelobe level has been reduced by 5dB.

作者：郑文超, 郎量, 李青侠, 桂良启,

关键词：栅格阵列天线, 遗传算法, 低副瓣, 电流幅度,