2D-DOA Estimation in Switching UCA Using Deep Learning-Based Covariance Matrix Completion

In this paper, we study the two-dimensional direction of arrival (2D-DOA) estimation problem in a switching uniform circular array (SUCA), which means performing 2D-DOA estimation with a reduction in the number of radio frequency (RF) chains. We propose a covariance matrix completion algorithm for 2...

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Detalles Bibliográficos
Autores principales: Mei, Ruru, Tian, Ye, Huang, Yonghui, Wang, Zhugang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143694/
https://www.ncbi.nlm.nih.gov/pubmed/35632162
http://dx.doi.org/10.3390/s22103754

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143694/
https://www.ncbi.nlm.nih.gov/pubmed/35632162
http://dx.doi.org/10.3390/s22103754

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