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Real-data-driven real-time reconfigurable microwave reflective surface

Author

Listed:
  • Erda Wen

    (University of California San Diego)

  • Xiaozhen Yang

    (University of California San Diego)

  • Daniel F. Sievenpiper

    (University of California San Diego)

Abstract

Manipulating the electromagnetic (EM) scattering behavior from an arbitrary surface dynamically on arbitrary design goals is an ultimate ambition for many EM stealth and communication problems, yet it is nearly impossible to accomplish with conventional analysis and optimization techniques. Here we present a reconfigurable conformal metasurface prototype as well as a workflow that enables it to respond to multiple design targets on the reflection pattern with extremely low on-site computing power and time. The metasurface is driven by a sequential tandem neural network which is pre-trained using actual experimental data, avoiding any possible errors that may arise from calculation, simulation, or manufacturing tolerances. This platform empowers the surface to operate accurately in a complex environment including varying incident angle and operating frequency, or even with other scatterers present close to the surface. The proposed data-driven approach requires minimum amount of prior knowledge and human effort yet provides maximized versatility on the reflection control, stepping towards the end form of intelligent tunable EM surfaces.

Suggested Citation

  • 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.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43473-y
    DOI: 10.1038/s41467-023-43473-y
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    References listed on IDEAS

    as
    1. 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.
    2. Seyedeh Mahsa Kamali & Amir Arbabi & Ehsan Arbabi & Yu Horie & Andrei Faraon, 2016. "Decoupling optical function and geometrical form using conformal flexible dielectric metasurfaces," Nature Communications, Nature, vol. 7(1), pages 1-7, September.
    3. Kedi Wu & Philippe Coquet & Qi Jie Wang & Patrice Genevet, 2018. "Modelling of free-form conformal metasurfaces," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
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