Sparse Automotive MIMO Radar for Super-Resolution Single Snapshot DOA Estimation With Mutual Coupling
A novel sparse automotive multiple-input multiple-output (MIMO) radar configuration is proposed for low-complexity super-resolution single snapshot direction-of-arrival (DOA) estimation. The physical antenna effects are incorporated in the signal model via open-circuited embedded-element patterns (E...
Enregistré dans:
| Auteurs principaux: | Navid Amani, Feike Jansen, Alessio Filippi, Marianna V. Ivashina, Rob Maaskant |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
IEEE
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/6f5e54c137234296a95cd9403d7d83be |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Range Dividing MIMO Waveform for Improving Tracking Performance
par: Eun-Hee Kim, et autres
Publié: (2021) -
Distributed Two-Dimensional MUSIC for Joint Range and Angle Estimation with Distributed FMCW MIMO Radars
par: Jiho Seo, et autres
Publié: (2021) -
MIMO-SAR Interferometric Measurements for Structural Monitoring: Accuracy and Limitations
par: Andreas Baumann-Ouyang, et autres
Publié: (2021) -
Sparse Reconstruction for Near-Field MIMO Radar Imaging Using Fast Multipole Method
par: Emre A. Miran, et autres
Publié: (2021) -
End-to-End SAR Deep Learning Imaging Method Based on Sparse Optimization
par: Siyuan Zhao, et autres
Publié: (2021)