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

© 2023. The Author(s)..

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:14

Enthalten in:

Nature communications - 14(2023), 1 vom: 22. Feb., Seite 989

Sprache:

Englisch

Beteiligte Personen:

Li, Weihan [VerfasserIn]
Ma, Qian [VerfasserIn]
Liu, Che [VerfasserIn]
Zhang, Yunfeng [VerfasserIn]
Wu, Xianning [VerfasserIn]
Wang, Jiawei [VerfasserIn]
Gao, Shizhao [VerfasserIn]
Qiu, Tianshuo [VerfasserIn]
Liu, Tonghao [VerfasserIn]
Xiao, Qiang [VerfasserIn]
Wei, Jiaxuan [VerfasserIn]
Gu, Ting Ting [VerfasserIn]
Zhou, Zhize [VerfasserIn]
Li, Fashuai [VerfasserIn]
Cheng, Qiang [VerfasserIn]
Li, Lianlin [VerfasserIn]
Tang, Wenxuan [VerfasserIn]
Cui, Tie Jun [VerfasserIn]

Links:

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Themen:

Journal Article

Anmerkungen:

Date Completed 23.02.2023

Date Revised 25.02.2023

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1038/s41467-023-36645-3

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM353200565