Robust low sidelobe beamforming algorithm based on convariance matrix reconstruction

Steering vector (SV) mismatch and the covariance matrix (CM) mismatch are two main factors which affect the performance of minimum variance distortionless response (MVDR). To enhance the robustness when encountering a mismatch problem, we use reconstructed interference-plus-noise CM and corrected SV to improve MVDR. In addition, inequality constraints are added to obtain low sidelobe level. Simulation results show our proposed method can accurately control the sidelobe level and suppress interference, while achieves good robustness to CM mismatch and SV mismatch.