Wireless Sensing Using Dynamic Metasurface Antennas: Challenges and Opportunities
Wireless Sensing Using Dynamic Metasurface Antennas: Challenges and Opportunities
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DOI：
10.1109/mcom.001.1900696
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发表时间：
2020-06
影响因子：
11.2
通讯作者：
Guohao Lan;M. Imani;P. Hougne;Wenjun Hu;David R. Smith;M. Gorlatova
中科院分区：
文献类型：
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作者：
Guohao Lan;M. Imani;P. Hougne;Wenjun Hu;David R. Smith;M. Gorlatova
使用无线通信基础设施来识别人类行为在过去十年中取得了巨大的成功。本文介绍了一种新型的天线称为DMA无线传感所带来的机遇和挑战。与依赖于频率分集或空间分集进行感测的传统解决方案相比，所提出的系统利用DMA的天线方向图分集和软件可编程性来实现高性能无线感测。我们提出了一个基于DMA的无线传感的一般框架，并证明了DMA在使用自定义硬件传感的可行性和好处。我们确定了几个研究挑战和未来的方向，以充分实现这一新概念。
Using wireless communication infrastructure to recognize human behaviors has achieved great success over the last decade. This article presents the opportunities and challenges posed by a novel class of antennas referred to as DMA for wireless sensing. In contrast to conventional solutions that rely on either frequency diversity or spatial diversity for sensing, the proposed system exploits the antenna pattern diversity and software programmability of the DMA to achieve high-performance wireless sensing. We present a general framework for DMA-based wireless sensing, and demonstrate the feasibility and benefits of the DMA in sensing using custom hardware. We identify several research challenges and future directions to fully realize this new concept.