Compressive direction finding with robust sparsity prior

In this paper, a novel compressive sensing (CS) model is proposed for the robust direction finding problem. A new distribution prior with enhanced sparsity constraint is considered in the proposed CS framework. The simulation results as well as the real data processing exhibit its great superiority than many other spectrum estimation methods especially under the highly-corrupted condition.