Cargando…
Deep neural network-based phase calibration in integrated optical phased arrays
Calibrating the phase in integrated optical phased arrays (OPAs) is a crucial procedure for addressing phase errors and achieving the desired beamforming results. In this paper, we introduce a novel phase calibration methodology based on a deep neural network (DNN) architecture to enhance beamformin...
Autores principales: | Kim, Jae-Yong, Kim, Junhyeong, Yoon, Jinhyeong, Hong, Seokjin, Neseli, Berkay, Kwon, Namhyun, You, Jong-Bum, Yoon, Hyeonho, Park, Hyo-Hoon, Kurt, Hamza |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651891/ https://www.ncbi.nlm.nih.gov/pubmed/37968312 http://dx.doi.org/10.1038/s41598-023-47004-z |
Ejemplares similares
-
Implementation of digital optical phase conjugation with embedded calibration and phase rectification
por: Yu, Zhipeng, et al.
Publicado: (2019) -
A Fast Calibration Method for Phased Arrays by Using the Graph Coloring Theory
por: Yang, Lijie, et al.
Publicado: (2018) -
Gain-Phase Errors Calibration for a Linear Array Based on Blind Signal Separation
por: Dai, Zheng, et al.
Publicado: (2020) -
A New Gain-Phase Error Pre-Calibration Method for Uniform Linear Arrays
por: Liu, Chang, et al.
Publicado: (2023) -
Circular Optical Phased Arrays with Radial Nano-Antennas
por: Liu, Qiankun, et al.
Publicado: (2022)