Wireless Sensing Using Dynamic Metasurface Antennas: Challenges and Opportunities

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.

Duke Scholars

Author Maria Gorlatova Electrical and Computer Engineering