On-demand Doppler-offset beamforming with intelligent spatiotemporal metasurfaces.

ABSTRACT: Recently, significant efforts have been devoted to guaranteeing high-quality communication services in fast-moving scenes, such as high-speed trains. The challenges lie in the Doppler effect that shifts the frequency of the transmitted signal. To this end, the recent emergence of spatiotemporal metasurfaces offers a promising solution, which can manipulate electromagnetic waves in time and space domain while being lightweight and cost-effective. Here we introduce deep learning-assisted spatiotemporal metasurfaces to automatically and adaptively neutralize Doppler effect in fast-moving situations. A tandem neural network is used to establish a rapid connection between on-site targets and time-varying series of spatiotemporal metasurfaces, endowing the capability of on-demand beamforming wit

SUBMITTER: Zhu X 

PROVIDER: S-EPMC11636439 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature