太赫兹科学与电子信息学报2016，Vol.14Issue(5)：733-737,5.DOI:10.11805/TKYDA201605.0733
基于UTD和GA混合算法的无人机载天线布局优化
Layout optimization of UVA airborne antennas based on GA and UTD
摘要
Abstract
In order to overcome the interference of the antenna, the Genetic Algorithm(GA) is used to optimize the layout of the antenna to reduce the coupling between antennas. By using a new objective function, combining with the Uniform geometrical Theory of Diffraction(UTD), layout optimization is performed on the monopole antennas both on the cylinder and on the surface of Unmanned Aerial Vehicle(UAV). The results of location optimization are proved by Feko simulation, and theS parameter values at the best position show that the coupling between antennas becomes smaller after the placement optimization, which also indirectly validates the correctness of the method. This method can be applied to predict and evaluate the coupling degree of the airborne antenna on time and has practical application value.关键词
遗传算法/天线耦合/布局优化/一致性几何绕射理论Key words
Genetic Algorithm/antenna coupling/layout optimization/Uniform geometrical Theory of Diffraction分类
信息技术与安全科学引用本文复制引用
韩帅涛,侯德亭,邹伟,杨佳萌..基于UTD和GA混合算法的无人机载天线布局优化[J].太赫兹科学与电子信息学报,2016,14(5):733-737,5.基金项目
中国工程物理研究院复杂电磁环境实验室课题资助项目(2013ECF) （2013ECF）
