PROJECT TITLE :

Robust adaptive beamforming with automatic uncertainty bound setting

ABSTRACT :

The performance of uncertainty-set-based robust adaptive beamformers is greatly obsessed on the bound of the uncertainty set. Presented is an automatic setting of the bound based mostly on the minimum distance between the presumed steering vector and therefore the signal subspace. The proposed theme will virtually give the same performance as the beamformer with the optimum bound.


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