A Distributed MIMO Radar Signals Separation Algorithm Based on Under-determined Blind Source Separation

The distributed multiple-input-multiple-output (MIMO) radar owns great advantages in target detection and high-resolution parameter estimation. In order to solve the reconnaissance problems better, this paper proposes a novel under-determined blind source separation algorithm based on single source points detection to separate the mixed MIMO radar signals. First, the receiver model of the distributed MIMO radar signals is built. Then, a new mixing matrix estimation algorithm based on single source points detection is proposed. Finally, the MIMO source signals are separated by utilizing the source signals recovery algorithm based on the subspace projection. The simulation results prove that the proposed algorithm can solve the problem of separating the distributed multiple-input-multiple-output radar signals and get good separation performance.