A Reduced-Complex Method Based on Toeplitz Reconstruction for Direction of Arrival Estimation in Multiple-Input Multiple-Output Sonar

Direction of Arrival (DOA) for multiple-input multiple-output sonar is considered. A high dimensional matrix by matched filter can be obtained in the receive array, when we directly apply traditional algorithm to MIMO Sonar. This matrix loss the original incoherence, and produces higher computational complexity. In this paper, reduced-complex multiple signal classification (MUSIC) based on Toeplitz reconstruction (TRC-MUSIC) is proposed. This algorithm can reduce the dimension of operation effectively, avoid degrees of freedom (DOFs) and virtual array aperture loss by traditional decorrelation algorithm. We can obtain better location performance in the situation of low signal-to-noise ratio (SNR) and lower snapshots. Simulation results show the usefulness of the proposed algorithm. The TRC-MUSIC method can provide more accurate location and better stability, suppress noise effectively in low snapshots.