Machine learning-assisted lens-loaded cavity response optimization for improved direction-of-arrival estimation

This paper presents a millimeter-wave direction of arrival estimation (DoA) technique powered by dynamic aperture optimization. The frequency-diverse medium in this work is a lens-loaded oversized mmWave cavity that hosts quasi-random wave-chaotic radiation modes. The presence of the lens is shown t...

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Detalles Bibliográficos
Autores principales: Abbasi, Muhammad Ali Babar, Akinsolu, Mobayode O., Liu, Bo, Yurduseven, Okan, Fusco, Vincent F., Imran, Muhammad Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122914/
https://www.ncbi.nlm.nih.gov/pubmed/35595805
http://dx.doi.org/10.1038/s41598-022-12011-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122914/
https://www.ncbi.nlm.nih.gov/pubmed/35595805
http://dx.doi.org/10.1038/s41598-022-12011-z

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