Projection-based Robust Adaptive Beamforming with Quadratic Constraint
We give a new objective function of optimization problem. Performance of basic beamformer versus SNR is analyzed with the use of random matrix theory. Performance of basic beamformer is improved at low SNR by adding a quadratic constraint. Proposed method is robust against arbitrary steering vector mismatch.
robust adaptive beamforming quadratic constraint random matrix theory projection