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

Author:

Li WeihanORCID,Ma Qian,Liu Che,Zhang Yunfeng,Wu Xianning,Wang Jiawei,Gao Shizhao,Qiu Tianshuo,Liu Tonghao,Xiao Qiang,Wei Jiaxuan,Gu Ting TingORCID,Zhou Zhize,Li FashuaiORCID,Cheng QiangORCID,Li LianlinORCID,Tang WenxuanORCID,Cui Tie JunORCID

Abstract

AbstractThe 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.

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary

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