Multi-Objective Optimization in High Frequency Electromagnetics-An Effective Technique for Smart Mobile Terminal Antenna (SMTA) Design

被引：29

作者：

Lu, Junwei ^{[1
]}

Ireland, David ^{[1
]}

Lewis, Andrew ^{[1
]}

机构：

[1] Griffith Univ, Nathan, Qld 4111, Australia

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2009年 / 45卷 / 03期

关键词：

Dielectric embedded electronically switched multi-beam antenna; genetic algorithms; multi-objective optimization; particle swarm optimization; simulated annealing; smart mobile terminal antennas; GENETIC ALGORITHM; ARRAY;

D O I：

10.1109/TMAG.2009.2012586

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：

This paper describes several major optimization techniques, such as FDTD-simulated annealing (SA), FEM-Genetic algorithms (GA), and FD-TD-particle swarm optimization (PSO) and frequency domain FEM-PSO used for high-frequency electromagneties and their applications in smart mobile terminal antenna (SMTA) design. Two SMTAs, a dielectric embedded electronically switched multi-beam (DE-ESMB) antenna and a dielectric embedded electronically steerable passive array radiator (DE-ESPAR) antenna, were successfully developed by using these multi-objective optimization techniques. The design considerations and rules based on computational electro-magnetics and optimization techniques are explored for the practical application of dielectric embedded SMTAs.

引用

页码：1072 / 1075

页数：4

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