Abstract
A robust adaptive beamforming technique based on a reconstructed covariance matrix and array steering vector (ASV) estimation using low-complexity algorithms is proposed. The spatial spectrum estimator is used to reconstruct the interference-plus-noise covariance matrix and the ASV estimation process is used to calculate the correlation coefficients of the assumed ASV and the eigenvectors. Contrary to other robust adaptive beamforming methods, this approach has better performance yet does not involve any specific optimisation programme even if arbitrary ASV imperfections are considered. Simple implementation and significant signal-to-interference-plus-noise ratio enhancement support the practicability of the proposed method.
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