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The sample matrix inversion (SMI) beamformer suffers from performance degradation due to the finite sample size effect and the arrival angle mismatch problem. A simple technique to provide robustness to the conventional SMI beamformer is to block the desired signal from the received data before calculating the beamformer's weight vector, which leads to the subtraction-based SMI (S-SMI) beamformer...
A novel robust beamformer is proposed to suppress the coherent interferences while maintaining a distortionless response for the desired signal with direction-of-arrival (DOA) estimation errors. By dividing the received array data vector into two sub-vectors and subtracting one sub-vector from the other, a new data vector is obtained, based on which a set of constraints is formed for calculating the...
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