Computationally efficient DOA estimation for monostatic MIMO radar based on covariance matrix reconstruction

摘要

A computationally efficient direction-of-arrival (DOA) estimation algorithm for monostatic multiple-input multiple-output (MIMO) radar based on covariance matrix reconstruction is presented. By reduced-dimension transformation, the transformed covariance matrix is reconstructed in the Toeplitz structure and then the DOAs are estimated by employing MUSIC. The proposed reduced-complexity denosing covariance matrix reconstruction approach provides lower computational complexity compared with conventional two-dimension multiple signal classification (2D-MUSIC). Moreover, in contrast to the subspace-based methods, the proposed method can be carried out without knowing the number of targets. Simulation results demonstrate the outperformance of the proposed method.