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5 October 2023 Deep learning enabled control of active metasurface antenna
Jaebum Noh, Junsuk Rho
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Proceedings Volume PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023; PC126550S (2023) https://doi.org/10.1117/12.2676330
Event: SPIE Nanoscience + Engineering, 2023, San Diego, California, United States
Abstract
We have designed a deep neural network that could design an active metasurface antenna. The neural network provides a fast and accurate calculation of the radiation pattern of the metasurface. This process is unhindered by the miscalculation due to periodic approximations frequently used in calculating unit cells of the metasurface. Using the network, we have demonstrated the search for the highest antenna gains in five different directions. The results showed higher gains and lower side lobe levels than theoretical results.
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Jaebum Noh and Junsuk Rho "Deep learning enabled control of active metasurface antenna", Proc. SPIE PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023, PC126550S (5 October 2023); https://doi.org/10.1117/12.2676330
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KEYWORDS
Antennas
Deep learning
Neural networks
Education and training
PIN photodiodes
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