Sparse DOA Estimation Method Based on Riemann Averaging under Strong Intermittent Jamming
Aiming to address the problem of increased radar jamming in complex electromagnetic environments and the difficulty of accurately estimating the target signal close to a strong jamming signal, this paper proposes a sparse Direction of Arrival (DOA) estimation method based on Riemann averaging under...
Saved in:
| Main Authors: | Xiaoyu LAN, Jiyan HU, Mingshen LIANG, Shuang MA |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
China Science Publishing & Media Ltd. (CSPM)
2025-04-01
|
| Series: | Leida xuebao |
| Subjects: | |
| Online Access: | https://radars.ac.cn/cn/article/doi/10.12000/JR24175 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Coherent DOA estimation based on low-rank matrix recovery with coprime arrays in nonuniform noise
by: Youzhen Yang, et al.
Published: (2025-02-01) -
Hole-Free Symmetric Complementary Sparse Array Design for High-Precision DOA Estimation
by: He Ma, et al.
Published: (2024-12-01) -
Looking for equivalence between maximum likelihood and sparse DOA estimators
by: Thomas Aussaguès, et al.
Published: (2025-06-01) -
Atom-Constrained Gridless DOA Refinement With Wirtinger Gradients
by: Yongsung Park, et al.
Published: (2024-01-01) -
DOA Estimation Method for Vector Hydrophones Based on Sparse Bayesian Learning
by: Hongyan Wang, et al.
Published: (2024-10-01)