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

Author

Listed:
  • 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)

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.

Suggested Citation

  • 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 &, 2023. "Intelligent metasurface system for automatic tracking of moving targets and wireless communications based on computer vision," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36645-3
    DOI: 10.1038/s41467-023-36645-3
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    References listed on IDEAS

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    Cited by:

    1. Xin Wang & Jia Qi Han & Guan Xuan Li & De Xiao Xia & Ming Yang Chang & Xiang Jin Ma & Hao Xue & Peng Xu & Rui Jie Li & Kun Yi Zhang & Hai Xia Liu & Long Li & Tie Jun Cui, 2023. "High-performance cost efficient simultaneous wireless information and power transfers deploying jointly modulated amplifying programmable metasurface," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    2. Tianshuo Qiu & Qiang An & Jianqi Wang & Jiafu Wang & Cheng-Wei Qiu & Shiyong Li & Hao Lv & Ming Cai & Jianyi Wang & Lin Cong & Shaobo Qu, 2024. "Vision-driven metasurfaces for perception enhancement," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    3. Erda Wen & Xiaozhen Yang & Daniel F. Sievenpiper, 2023. "Real-data-driven real-time reconfigurable microwave reflective surface," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    4. Wenzhi Li & Qiyue Yu & Jing Hui Qiu & Jiaran Qi, 2024. "Intelligent wireless power transfer via a 2-bit compact reconfigurable transmissive-metasurface-based router," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

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