Modified projection approach for robust adaptive array beamforming

A novel modified projection method is proposed in this paper, which is robust against the signal steering vector mismatch and covariance matrix uncertainty. First, an enhanced covariance matrix estimate based on a shrinkage method is obtained. Then, the desired signal subspace is estimated from the eigenvectors of the enhanced covariance matrix, and a calibrated steering vector of the desired signal is obtained in sequence by projecting the presumed one onto the new estimated desired signal subspace. Finally, the robust adaptive beamformer weight is obtained from the estimated covariance matrix and the calibrated steering vector. Compared with the traditional projection method, the proposed method can work well even at low signal-to-noise ratio. Also, it is not necessary to estimate the number of sources. Simulation results demonstrate the efficiency of the proposed robust method compared with some of the existing ones.

► A novel modified projection method is proposed, which is robust against the signal steering vector mismatch and covariance matrix uncertainty.
► The robust adaptive beamformer weight is obtained from the estimated covariance matrix and the calibrated steering vector.
► Compared with the traditional projection method, the proposed method can work well even at low signal-to-noise ratio.
► It is not necessary to estimate the number of sources.
► Simulation results demonstrate the efficiency of the proposed robust method compared with some of the existing ones.