Machine–learning-enabled metasurface for direction of arrival estimation

Machine–learning-enabled metasurface for direction of arrival estimation

Metasurfaces, interacted with artificial intelligence, have now been motivating many contemporary research studies to revisit established fields, e.g., direction of arrival (DOA) estimation. Conventional DOA estimation techniques typically necessitate bulky-sized beam-scanning equipment for signal a...

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Bibliographic Details
Main Authors: Huang Min, Zheng Bin, Cai Tong, Li Xiaofeng, Liu Jian, Qian Chao, Chen Hongsheng
Format: Article
Language:English
Published: De Gruyter 2022-01-01
Series:Nanophotonics
Subjects:
direction of arrival estimation
metasurface
random forest
Online Access:https://doi.org/10.1515/nanoph-2021-0663

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