MIMO radar imaging based on improved smoothed L0 norm sparse signal recovery algorithm

Abstract

Sparse signal recovery algorithms can be used to improve image quality of target with sparse property in spatial domain. In order to improve the imaging quality of MIMO Radar, an improved smoothed L0 norm (SL0) sparse signal recovery algorithm is proposed in the paper. Firstly, the sparse imaging model of MIMO radar is established, the imaging problem is transformed into the optimization problem of minimum L0 norm; Then a negative exponential function is proposed as smoothed function to approximate the L0 norm. Finally, a comparison correction step is added to ensure that the search direction follows the fastest descent direction and the gradient projection algorithm is used to obtain target image. Simulation results show that MIMO radar imaging quality obtained by the proposed algorithm has great improvement compared to several popular algorithms.