Robust Adaptive Beamforming Algorithm in the Presence of Mismatches

Adaptive beamforming is known to have resolution and interference rejection capability when the array steering vector is precisely known. However, the performance of adaptive beamforming techniques may degrade severely in the presence of mismatches between the assumed array response and the true array response. In this paper, we propose robust adaptive beamforming algorithm based on explicit modeling of uncertainties in direction of arrival (DOA) of the desired signal and the diagonal loading technique. The proposed algorithm has nearly optimal performance under good conditions, provides the robustness against some types of mismatches and makes the mean output array SINR consistently close to the optimal one. Simulation results validate substantial performance improvements relative to other popular adaptive beamforming methods