MetaSensing: Intelligent Metasurface Assisted RF 3D Sensing by Deep Reinforcement Learning

Using RF signals for wireless sensing has gained increasing attention. However, due to the unwanted multi-path fading in uncontrollable radio environments, the accuracy of RF sensing is limited. Instead of passively adapting to the environment, in this paper, we consider the scenario where an intell...

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Veröffentlicht in:	IEEE journal on selected areas in communications Jg. 39; H. 7; S. 2182 - 2197
Hauptverfasser:	Hu, Jingzhi, Zhang, Hongliang, Bian, Kaigui, Renzo, Marco Di, Han, Zhu, Song, Lingyang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	Accuracy Algorithms Antennas beamformer pattern design Deep learning deep reinforcement learning Electronics Engineering Sciences Entropy (Information theory) Machine learning Mapping metasurface Metasurfaces Object recognition Optimization policy gradient algorithm Radio frequency RF 3D sensing RF signals Sensors Three-dimensional displays
ISSN:	0733-8716, 1558-0008
Online-Zugang:	Volltext
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