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- Title
Efficient gridless 2D DOA estimation based on generalized matrix‐form atomic norm minimization.
- Authors
Gao, Silin; Wang, Muhan; Zhang, Zhe; Zhang, Bingchen; Wu, Yirong
- Abstract
Two‐dimensional (2D) direction‐of‐arrival (DOA) estimation is crucial in array signal processing. Compressed sensing (CS) provides a superior alternative to spatial spectrum estimation algorithms by enabling 2D DOA estimation of correlated sources from single snapshot data. However, the grid mismatch effect inherent in grid‐based CS algorithms impacts estimation accuracy. Despite recent advancements, the state‐of‐the‐art gridless CS algorithm, decoupled atomic norm minimization, is limited to specific 2D array geometries, such as uniform rectangular arrays. This letter presents an efficient gridless 2D DOA estimation algorithm for generalized rectangular arrays, including both uniform and sparse arrays. The proposed algorithm achieves high accuracy through a novel approach called generalized matrix‐form atomic norm minimization and provides a fast solution using the alternating direction method of multipliers. Validation through computer simulations and practical experiments underscores its efficacy.
- Subjects
ARRAY processing; RADAR signal processing; DIRECTION of arrival estimation; SIGNAL processing; COMPRESSED sensing; MULTIPLIERS (Mathematical analysis)
- Publication
Electronics Letters (Wiley-Blackwell), 2024, Vol 60, Issue 10, p1
- ISSN
0013-5194
- Publication type
Article
- DOI
10.1049/ell2.13212