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سی امین کنفرانس بین المللی مهندسی برق
Enhancing the Incident Angle Band in Carpet Cloaking using Deep Neural Networks
نویسندگان :
Amirhossein Fallah
1
Leila Yousefi
2
Ahmad Kalhor
3
1- دانشگاه تهران
2- دانشگاه تهران
3- دانشگاه تهران
کلمات کلیدی :
carpet cloaking،metasurfaces،deep neural networks،evolutionary algorithms
چکیده :
Metasurface-based carpet cloaks although are very thin and have a good performance, are very sensitive to the incident angles and work only for a very narrow range of incident angles. In this paper, we have addressed this issue using PSO algorithm in combination with a deep neural network. A passive single-layer metasurface capable of making objects under it invisible for a wide range of incident angles, 0 to 70 degrees, is designed and optimized using PSO algorithm in combination with a deep neural network. The cloak has been designed and evaluated using full-wave numerical simulations, and the results show a good performance in the mentioned incident angle band.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2
