Antenna Optimization With a Computationally Efficient Multiobjective Evolutionary Algorithm

被引：64
作者：
John, Matthias [1 ]
Ammann, Max J. [1 ]
机构：
[1] Dublin Inst Technol, Sch Elect & Commun Engn, Ctr Telecommun Value Chain Res, Dublin 8, Ireland
来源：
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION | 2009年 / 57卷 / 01期
关键词：
Antenna optimization; multiobjective evolutionary algorithm; ultrawideband (UWB) antenna; spline; GENETIC-ALGORITHM; DESIGN;
D O I：
10.1109/TAP.2008.2009775
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
An efficient multiobjective evolutionary algorithm is described for optimizing a novel spline based printed monopole antenna. The antenna geometry is based on spline outlines. Both radiating element and groundplane are simultaneously optimized by the algorithm. The resulting antenna performance is evaluated. It is shown that the evolutionary algorithm and the spline geometry can be used to efficiently generate ultrawideband antennas on limited computing resources.
引用
收藏
页码：260 / 263
页数：4
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