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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 new densely packed Yagi antenna array is small in size, complex in structure and strong in coupling between units. It is very difficult to design a design without a specific design formula. To this end, this paper uses a multi-objective optimization genetic algorithm to achieve the automatic optimization design Yagi antenna. Based on the advantages of genetic algorithm, a multi-objective optimization algorithm based on multi-objective optimization GA is proposed to realize the gain and impedance of Yagi antenna, which not only meets the design requirements but also automatically obtains the corresponding antenna size parameters. Through this algorithm, a tri-element equivalent Yagi antenna working at 104.5MHz is designed automatically. The simulation results and the measured results are consistent with the results of the algorithm optimization, which verifies the validity and reliability of the multi-objective optimization genetic algorithm in this paper.