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Off-Grid DOA Estimation Based on Alternating Iterative Weighted Least Squares for Acoustic Vector Hydrophone Array.
- Source :
-
Circuits, Systems & Signal Processing . Sep2020, Vol. 39 Issue 9, p4650-4680. 31p. - Publication Year :
- 2020
-
Abstract
- In this paper, an alternating iterative weighted least squares method is proposed to handle the off-grid issue in sparsity-based direction of arrival (DOA) estimation for acoustic vector hydrophone (AVH) array. Firstly, the off-grid model via AVH array is formulated by introducing a bias parameter into the signal model. Secondly, the reconstructed interference plus noise covariance matrix is calculated as the weighting term. Then, a novel objective function with respect to the sparse signal and the unknown bias parameter is developed based on weighted least squares. Finally, the closed-form solutions of the sparse signal and the unknown bias parameter are deduced. Simulation results reveal that compared with the state-of-the-art algorithms, the proposed method improves the DOA estimation accuracy in the presence of a coarse sample grid and has a faster convergence speed. Furthermore, the effectiveness and robustness of the proposed method are verified by the underwater experimental results. [ABSTRACT FROM AUTHOR]
- Subjects :
- *LEAST squares
*HYDROPHONE
*COVARIANCE matrices
Subjects
Details
- Language :
- English
- ISSN :
- 0278081X
- Volume :
- 39
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- Circuits, Systems & Signal Processing
- Publication Type :
- Academic Journal
- Accession number :
- 144403651
- Full Text :
- https://doi.org/10.1007/s00034-020-01391-0