An Adaptive SVT-Based Matrix Completion Method for DOA Estimation in Nonuniform Noise

In this paper, we consider the problem of direction-of-arrival (DOA) estimation in the presence of nonuniform noise. It is known that in most of the existing DOA estimation methods are based on the uniform white noise assumption. In many applications, however, the noise across the array may be nonuniform. To tackle this problem, the matrix completion via adaptive singular value threshold (SVT) is used to find the noise-free covariance matrix. On this basis, the signal and noise subspaces are obtained from the eigendecomposition of the noise-free covariance matrix. Finally, traditional subspace-based DOA estimation can be employed to determine the DOAs. Numerical simulation results are performed to demonstrate the effectiveness of the proposed method.