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A fast sparse covariance-based fitting algorithm with the non-negative least squares (NNLS) form is proposed for the direction of arrival (DOA) estimation. The Khatri-Rao product of the array manifold of the uniform linear arrays is utilized to achieve th
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A Fast Sparse Covariance-Based Fitting Method For Doa Estimation Via Non-Negative Least Squares
A fast sparse covariance-based fitting algorithm with the non-negative least squares (NNLS) form is proposed for the direction of arrival (DOA) estimation. The Khatri-Rao product of the array manifold of the uniform linear arrays is utilized to achieve th