Sparse Clutter Estimation for STAP Based on Decouple Atomic Norm Minimization

In this paper, a novel STAP algorithm based on Decouple Atomic Norm minimization is proposed, the new algorithm is able to get more accurate support set and amplitude estimation in sparse recovery operation. Meanwhile the method is with low computation complexity compared with other sparse recovery methods, which show a main advantage in sparse clutter spatial-temporal spectrum estimation.