Robustness Beamforming Algorithms

Sajad Dehghani, Naser Parhizgar
2014 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 convex
more » ... optimization problem in this paper. It is solved by the interior-point method and optimum weight vector to robust beamforming is achieved.
doaj:1392e0e66f1a476390fa34bf5ee694ce fatcat:n2mi5cwonfdkrcwhxxqgzldtvu