Covariation-based subspace-augmented MUSIC for joint sparse support recovery in impulsive environments

► We introduced a new subspace-augmented MUSIC method for impulsive environments. ► Method based on modeling signals via symmetric alpha-stable (S α S) distributions. ► High accuracy in estimating the joint sparse support of a signal ensemble. ► Robust algorithm in the jointly, as well as disjointly, S α S case. ► High success rates of recovering true support under several experimental setups.