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Many adaptive beamforming algorithms deteriorate drastically in practical applications because they are highly sensitive to mismatches between exploited assumptions and the actual characteristics of the sensor array, environment and sources. Recently, the Robust Capon Beamformer (RCB) is derived which utilizes the uncertainty set of the desired array(More)
Adaptive beamformers can degrade drastically in practice because they are highly sensitive to mismatches between the exploited assumptions and the actual characteristics of the sensor array, environment and sources. At low snapshots, the sidelobes can get very high due to errors in the array covariance matrix. This degrades the(More)
A new beampattern synthesis formulation is proposed to compute the minimum number of array sensors required. In order to satisfy all the prescribed specifications of the beampattern, the proposed method imposes linear matrix inequality (LMI) constraints on the beampattern as developed by Davidson et al., which remove the need to discretize the beampattern(More)
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