• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of RF and microwave computer-aided engineering >Genetic algorithm design for nonperiodic planar graphene leaky-wave antennas in THz
【24h】

Genetic algorithm design for nonperiodic planar graphene leaky-wave antennas in THz

机译：遗传算法设计对THz中的非主体平面石墨烯泄漏波天线的设计

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The aim of this paper is proposing a new fast designing method for planargraphene leaky-wave antennas without periodical changes. Thus, Floquet theorycannot be used for designing, an optimization in numerical EM solver isneeded. Since leaky-wave antennas are electrically long, their simulation usingcommercial EM simulators needs a large number of meshes, also the optimizationof the large number of parameters (slot lengths and their distances) needshuge amount of memory and computation time. To resolve this problem, themethod of Moments, implemented in MATLAB, which has been acceleratedby applying some techniques, has been used in the design procedure. Theantenna comprises a slotted graphene micro ribbon with a specific pattern,which is placed on two dielectric substrates and a PEC reflector. Graphene isused in the proposed LWA, instead of the electric conductor, because of itswonderful properties. The suitable pattern of slots on the graphene microstrip,is obtained using optimization by MATLAB Genetic algorithm tool. The usefulnessand performance of the proposed designing approach, is verified in oneexample. It has been shown that the presented antenna, compared with one ofthe new successful similar antennas, has a better gain, radiation efficiency,and a wider range of beam scanning.
机译：本文的目的是提出一种新的平面设计快速设计方法石墨烯泄漏波天线没有周期性变化。因此，浮子理论不能用于设计，数字EM求解器的优化是需要。由于泄漏波天线电电长，因此使用它们的模拟商业EM模拟器需要大量网格，也需要优化大量参数（插槽长度及其距离）需要大量的内存和计算时间。解决这个问题，在Matlab中实施的时刻方法，这已加速通过应用一些技术，已在设计过程中使用。这天线包括具有特定图案的开槽石墨烯微带，将其放置在两个介电基板和PEC反射器上。石墨烯是在所提出的LWA中使用而不是电导体，因为它精彩的财产。石墨烯微带上的合适槽图案，使用MATLAB遗传算法工具的优化获得。有用和拟议的设计方法的性能，在一个中验证例子。已经表明，与其中一个相比所提出的天线新成功的类似天线，具有更好的收益，辐射效率，和更广泛的光束扫描。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号