Extended robust adaptive beamforming for general rank signal model using convex optimization

In this paper we propose an extension of robust adaptive beamforming based on the worst case optimization problem. Furthermore, we derive an efficient iterative algorithm to find the solution, based on convex optimization, which is applicable to a general rank signal model. Computer simulations show that the new algorithm yields better results at a lower complexity cost than previous works.