Robustness Beamforming Algorithms

Subject Areas : Telecommunication field and wave

Sajad Dehghani ¹ ( Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Fars )
Naser Parhizgar ² ( 1 Department of Electrical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran )

Received: 2013-07-29 Accepted : 2014-04-27 Published : 2014-06-01

Keywords: Uncertainty, Robustness, Minimum Variance Distortionless Response Beamforming, Convex Optimization,

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.

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