Intelligent metasurface system for automatic tracking of moving targets and wireless communications based on computer vision

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 () and Tie Jun Cui ()
Additional contact information
Weihan Li: Southeast University
Qian Ma: Southeast University
Che Liu: Southeast University
Yunfeng Zhang: Southeast University
Xianning Wu: Air Force Engineering University
Jiawei Wang: Southeast University
Shizhao Gao: Southeast University
Tianshuo Qiu: Air Force Engineering University
Tonghao Liu: Air Force Engineering University
Qiang Xiao: Southeast University
Jiaxuan Wei: Southeast University
Ting Ting Gu: Zhejiang University
Zhize Zhou: Zhejiang University
Fashuai Li: Zhejiang University
Qiang Cheng: Southeast University
Lianlin Li: Peking University
Wenxuan Tang: Southeast University
Tie Jun Cui: Southeast University

Nature Communications, 2023, vol. 14, issue 1, 1-10

Abstract: Abstract The fifth-generation (5G) wireless communication has an urgent need for target tracking. Digital programmable metasurface (DPM) may offer an intelligent and efficient solution owing to its powerful and flexible controls of electromagnetic waves and advantages of lower cost, less complexity and smaller size than the traditional antenna array. Here, we report an intelligent metasurface system to perform target tracking and wireless communications, in which computer vision integrated with a convolutional neural network (CNN) is used to automatically detect the locations of moving targets, and the dual-polarized DPM integrated with a pre-trained artificial neural network (ANN) serves to realize the smart beam tracking and wireless communications. Three groups of experiments are conducted for demonstrating the intelligent system: detection and identification of moving targets, detection of radio-frequency signals, and real-time wireless communications. The proposed method sets the stage for an integrated implementation of target identification, radio environment tracking, and wireless communications. This strategy opens up an avenue for intelligent wireless networks and self-adaptive systems.

Date: 2023
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DOI: 10.1038/s41467-023-36645-3

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