Design and optimization of CAD derived mobile phone antennas using multi-goal genetic algorithms

E. Ofli, F. Nunez, N. Chavannes, E. Cherubini, N. Kuster
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引用次数: 2

Abstract

This paper present a novel approach which allows to perform - to our knowledge for the first time - the effective optimization of entire CAD derived devices, embedded in complex environments. The new optimizer combines the advantages of genetic algorithms with the unique and superior speed of FDTD hardware acceleration. On the basis of a commercial mobile phone, the applied methods are outlined and demonstrated whereas the devices' antenna is optimized with respect to return loss/matching in free space and under real usage conditions, i.e., with head and hand. In addition, our optimization technique runs a sensitivity study for each optimized parameter in parallel.
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基于多目标遗传算法的CAD衍生手机天线设计与优化
本文提出了一种新颖的方法,它允许执行-据我们所知的第一次-整个CAD衍生设备的有效优化,嵌入在复杂的环境。新的优化器将遗传算法的优点与FDTD硬件加速的独特和优越的速度相结合。在商用移动电话的基础上,概述并演示了所应用的方法,而设备的天线在自由空间和实际使用条件下(即头部和手部)的回波损失/匹配方面进行了优化。此外,我们的优化技术对每个优化参数并行进行灵敏度研究。
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