摘要
将遗传算法成功地应用到非对称单脊波导缝隙天线的优化中,详细讨论了脊形波导缝隙天线进行优化的适应度函数的设计。整个优化过程分为两步进行:首先对天线阵元激励幅值进行初步优化,随后进行波导缝隙偏置以及脊波导双边槽深的优化,并且动态处理阵元间的互耦,最后结合Elliott设计思想采用遗传算法得出了4 cm(1×10)缝阵结果,从而验证了GA算法的有效性与准确性。
Genetic algorithms (GAs) are successfully applied to the optimization of the asymmetric ridged wave-guide slot antenna design. The paper discusses the design of the fitness function in the application in details. The design procedure can be divided into two steps: firstly, the amplitudes of the slots are used to optimize elementary unit. Secondly, the methods combined with the dynamic coupling among the slots were applied in the optimization of the offset of the slots and the both groove depth of the ridged wave-guide. As a result, a ( 1 × 10 elements) slot array is designed out.and is used to show the validity and accuracy of the GAs.
出处
《微波学报》
CSCD
北大核心
2007年第1期6-9,15,共5页
Journal of Microwaves
基金
973国家重大安全基础研究项目(51307)
关键词
遗传算法
非对称单脊波导缝隙天线
适应度函数
优化
Genetic algorithms, Asymmetric ridged wave-guide slot antenna, Fitness function, Optimization