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A new robust adaptive beamforming technique is proposed in this study to address performance degradation of adaptive beamforming methods in the presence of steering vector mismatch. Actual steering vector of desired signal is estimated by solving a convex optimization problem with the objective constructed by minimizing the sum of estimated desired steering vector projections onto noise eigenvectors...
Eigenspace-based beamformer and dominant mode rejection are robust against DOA mismatch and array model mismatch when SNR is proper. While the former algorithm suffers from performance break down at low SNR and at high SNR, the performance of the latter degrades. We propose a principle to judge the level of the SNR based on random matrix theory. The idea of random matrix theory is to identify the...
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