Compressive Sensing-Based SAR Image Reconstruction from Sparse Radar Sensor Data Acquisition in Automotive FMCW Radar System
In this paper, we propose a method for reconstructing synthetic aperture radar (SAR) images by applying a compressive sensing (CS) technique to sparsely acquired radar sensor data. In general, SAR image reconstruction algorithms require radar sensor data acquired at regular spatial intervals. Howeve...
Guardado en:
Autores principales: | Seongwook Lee, Yunho Jung, Myeongjin Lee, Wookyung Lee |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/342861863adc46818701a3ee8d63c980 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Distributed Two-Dimensional MUSIC for Joint Range and Angle Estimation with Distributed FMCW MIMO Radars
por: Jiho Seo, et al.
Publicado: (2021) -
Radar imaging complex with SAR and ASR for aerospace vechicle
por: Volodimir Pavlikov, et al.
Publicado: (2021) -
Self-Supervised Despeckling Algorithm with an Enhanced U-Net for Synthetic Aperture Radar Images
por: Gang Zhang, et al.
Publicado: (2021) -
A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures
por: Tiehua Zhao, et al.
Publicado: (2021) -
Strip-Map SAR Image Formulation Based on the Modified Alternating Split Bregman Method
por: Fangfang Shen, et al.
Publicado: (2021)