Robust adaptive beamforming algorithm in the situation of limited snapshots

In order to solve the problem of the sharp degradation of the adaptive beamformer performance due to limited snapshots, this paper proposes a new robust adaptive beamforming algorithm based on the correction of the covariance matrix and the estimation of the steering vector. The proposed algorithm first corrects the covariance matrix, and then obtains the estimation of the optimal steering vector with the corrected covariance matrix. Finally, using the corrected covariance matrix and the estimated optimal steering vector, the weight vector of the adaptive beamformer is calculated. The proposed algorithm can not only deal with all kinds of mismatches efficiently, but also solve the problem of the sharp degradation of the adaptive beamformer performance in the situation of limited snapshots, so that the robustness of the adaptive beamformer can be improved. Simulation results demonstrate the correctness and effectiveness of the proposed algorithm.