Pixelated design for multiple antennas in MIMO handset applications

Yen‐Sheng Chen, Ting-Yu Ku
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引用次数: 1

Abstract

It is well-known that channel throughput can be greatly enhanced by using a multiple-input-multiple-output (MIMO) antenna system. To implement such a multiple-antenna structure in handset environments, conventional design approaches rely on fine tuning the geometric parameters of antenna layouts. In this paper, a completely different framework is implemented to develop the multiple antennas. Rather than tuning the geometric parameters, we discretize the design space into several pixels. Afterward, powerful multi-objective optimization algorithms may automatically find the best antenna topologies by varying the distribution of these pixels. Our preliminary results show that the impedance requirement of each antenna can be met, and the mutual coupling between the multiple antennas can be kept at a very low level Most importantly, all the performances are automatically determined by the pixelated design technique. Therefore, the design cycle can be greatly reduced.
MIMO手机应用中多天线的像素化设计
众所周知,使用多输入多输出(MIMO)天线系统可以大大提高信道吞吐量。为了在手机环境中实现这种多天线结构,传统的设计方法依赖于微调天线布局的几何参数。本文采用了一种完全不同的框架来开发多天线。我们不是调整几何参数,而是将设计空间离散为几个像素。然后,强大的多目标优化算法可以通过改变这些像素的分布自动找到最佳的天线拓扑。初步结果表明,该方法能够满足各天线的阻抗要求,使多天线之间的相互耦合保持在很低的水平,最重要的是,所有性能均由像素化设计技术自动确定。因此,设计周期可以大大缩短。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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