Cargando…
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...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
|
| Materias: | |
| 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 |