DOA Estimation in Impulsive Noise via Low-Rank Matrix Approximation and Weakly Convex Optimization

Conventional direction-of-arrival (DOA) estimators are vulnerable to impulsive noise. In this paper, to tackle this issue, a class of weakly convex-inducing penalties is introduced for robust DOA estimation via low-rank matrix approximation, where ℓ2,1-norm is adopted as the metric for suppressing the outliers. Two iterative algorithms are developed to construct the noise-free data matrix. To avoi...