Underdetermined DOA Estimation Using MVDR-Weighted LASSO
AbstractThe direction of arrival (DOA) estimation problem is formulated in a compressive sensing (CS) framework, and an extended array aperture is presented to increase the number of degrees of freedom of the array. The ordinary least square adaptable least absolute shrinkage and selection operator (OLS A-LASSO) is applied for the first time for DOA estimation. Furthermore, a new LASSO algorithm, the minimum variance distortionless response (MVDR) A-LASSO, which solves the DOA problem in the CS framework, is presented. The proposed algorithm does not depend on the singular value decomposition nor on the orthogonality of the signal and the noise subspaces. Hence, the DOA estimation can be done without a priori knowledge of the number of sources. The proposed algorithm can estimate up to
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Salama, A.A.; Ahmad, M.O.; Swamy, M.N.S. Underdetermined DOA Estimation Using MVDR-Weighted LASSO. Sensors 2016, 16, 1549.
Salama AA, Ahmad MO, Swamy MNS. Underdetermined DOA Estimation Using MVDR-Weighted LASSO. Sensors. 2016; 16(9):1549.Chicago/Turabian Style
Salama, Amgad A.; Ahmad, M. O.; Swamy, M. N.S. 2016. "Underdetermined DOA Estimation Using MVDR-Weighted LASSO." Sensors 16, no. 9: 1549.
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