Robustness Beamforming Algorithms
Journal Title: روش های هوشمند در صنعت برق - Year 2014, Vol 5, Issue 17
Abstract
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 optimization problem in this paper. It is solved by the interior-point method and optimum weight vector to robust beamforming is achieved.
Authors and Affiliations
Sajad Dehghani, Naser Parhizgar
Keywords
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