This paper presents an intelligent metasurface system for target tracking and wireless communication. It integrates computer vision (using a convolutional neural network or CNN) to automatically detect moving targets and a dual-polarized digital programmable metasurface (DPM) with a pre-trained artificial neural network (ANN) for smart beam tracking and communication. Experiments demonstrate the system's capabilities in target detection, RF signal detection, and real-time wireless communication, paving the way for integrated target identification, radio environment tracking, and wireless communication.
Publisher
Nature Communications
Published On
Feb 22, 2023
Authors
Weihan Li, Qian Ma, Che Liu, Yunfeng Zhang, Xianning Wu, Jiawei Wang, Shizhao Gao, Tianshuo Qiu, Tonghao Liu, Qiang Xiao, Jiaxuan Wei, Ting Ting Gu, Zhize Zhou, Fashuai Li, Qiang Cheng, Lianlin Li, Wenxuan Tang, Tie Jun Cui
Tags
metasurface
target tracking
wireless communication
computer vision
convolutional neural network
artificial neural network
beam tracking
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