  In this paper, an accurate direction-of-arrival (DOA) estimator is developed
based on the real-valued singular value decomposition (SVD) of covariance
matrix. Unitary transform on the complex-valued covariance matrix is first
applied, and then SVD performs on the resulting real-valued data matrix. The
singular vector is then utilized with a weighted least squares (WLS) method to
achieve DOA estimation. The performance of the proposed algorithm is compared
with several state-of-the-art methods as well as the CRB. The results indicate
the accuracy and effectiveness of the proposed method.
