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Robustness Beamforming Algorithms
Journal of Intelligent Procedures in Electrical Technology
Adaptive beamforming methods are known to degrade in the presence of steering vector and covariance matrix uncertinity. In this paper, a new approach is presented to robust adaptive minimum variance distortionless response beamforming make robust against both uncertainties in steering vector and covariance matrix. This method minimize a optimization problem that contains a quadratic objective function and a quadratic constraint. The optimization problem is nonconvex but is converted to a convexdoaj:1392e0e66f1a476390fa34bf5ee694ce fatcat:n2mi5cwonfdkrcwhxxqgzldtvu