Direction-of-arival estimation based on difference of L1 and L2 minimization
Rui Lu, Binke Huang, Shitao Zhu, Ming Zhang, Xiaobo Liu, Anxue Zhang · 2017
In this paper, we proposed an direction-of-arrival (DOA) estimation method based on difference L1and L2minimization. The dictionary is highly coherent in the application of DOA estimation, which brings about challenges to sparse signal reconstruction algorithms. Difference of L1and L2behaves closer to L0than Lp(01and L2minimization is employed to DOA estimation. In addition, the nested array is adopted in our method to improve the degrees of freedom (DOF). Simulation results illustrate that our method performs better than Lpminimization and spatial smoothing (SS)-MUSIC when snapshots are shortage.