Abstract: A kind of robust adaptive beamforming algorithm based on the combination of steering vector optimization and covariance matrix reconstruction is proposed to solve the problem that the output signal-to-interference-plus-noise ratio (SINR) of the traditional beamforming algorithm decreases seriously under the condition of the mismatch of the steering vector and the error of the covariance matrix. By estimating the power and direction of signal and interference, interference plus noise covariance matrix is reconstructed, combined with projection and spatial integral, the assumed steering vector is optimized to make it approximate to the actual steering vector. Then the complex weight can be obtained by related calculation and the beamforming can be realized. The proposed algorithm can effectively suppress interference and improve the output SINR. For many mismatch situations, the proposed algorithm can also be with better performances. The simulation results are presented and effectiveness of the proposed algorithm is verified.