论文部分内容阅读
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。
Based on the derivation of the pattern of the grid antenna array, a method of optimizing the sidelobe level of the grid antenna array based on genetic algorithm is proposed. The method firstly simplifies the physical model of the grid antenna array and gives the array pattern under the equivalent model. Then, taking the short-side current amplitude of the grid antenna array as the optimization parameter and the sidelobe level of the array antenna azimuth as the fitness Function, the current amplitude of the sidelobe required by the optimization search of the genetic algorithm is obtained, and then the radiation unit impedance is calculated by the current amplitude to finally design the low-side-lobe grid antenna array satisfying the requirements. In order to verify the effectiveness of the method, a frequency sweep microstrip grid antenna is optimized. The optimized antenna is simulated in the electromagnetic simulation software. The prototype antenna is fabricated and tested according to the design result. The result shows that the sidelobe level of the antenna array is reduced by 5dB after optimization, and the optimization effect is obvious.