基于遗传算法的密距折合八木天线设计

Design of Closely Spaced,Folded Yagi Antenna Based on Genetic Algorithm

新型密距折合八木天线阵列尺寸小,结构复杂,单元间强耦合,没有具体的设计公式可依等因素使其设计十分困难。为此,本文采用多目标优化遗传算法实现了折合八木天线的自动优化设计。在结合遗传算法优点的基础上,采用多目标优化遗传算法实现了对折合八木天线增益和阻抗的多目标优化设计,不仅满足设计要求,也可自动得到其对应的天线尺寸参数。通过此算法自动优化设计了一款工作在104.5MHz的三单元折合八木天线。仿真结果、实测结果均与算法优化的结果相一致,验证了本文多目标优化遗传算法的有效性和可靠性。

The design of novel close space folded Yagi antenna is very difficult due to its small array dimension, complex structure, strong coupling among the elements, and no specific design formulas. In this case, this paper uses the multi-objective optimized genetic algorithm （GA） to realize the automatic optimization design of folded Yagi antenna. On the basis of combining with the advantages of genetic algorithm multi-objective optimization algorithm is used to realize the multi-objective optimization design of the gain and impedance of the folded Yagi antenna. It can meet the design requirements and obtain the antenna＇s dimension parameters automatically. By using this algorithm a three element folded Yagi antenna operated at 104.5MHz is optimizationally designed. Both simulated results and measurement results are consistent to those of genetic algorithm, which shows the effectiveness and reliability of this multi-objective optimization genetic algorithm.