We propose a robust adaptive beamformer from the perspective of the general form of the beamformer sensitivity, in which we consider the correlated random errors.

We find that the inverse of the sample covariance matrix is a reasonable choice for the random error covariance.

Numerical results demonstrate the superior performance of the proposed beamformer in the presence of large mismatch relative to other existing approaches.