Robust adaptive broadband beamforming based on worst-case performance optimization

The performance of adaptive beamforming algorithms is known to undergo substantial degradation in the presence of even slight mismatches between the actual and presumed steering vector to the desired signal.To account for mismatches,a novel robust adaptive broadband beamforming algorithm based on worst-case performance optimization is proposed.For the proposed robust beamformer under the uncertainty set constraint of the steering vector,its weight vector is optimized to involve minimization of a quadratic function subject to the amplitude constraint of the averaged spatial response variation(SRV) in the mainlobe and the sidelobe.Respectively computer simulation results demonstrate that the proposed beam former can obtain the prescribed robustness against steering vector errors,suffer the least distortion from the directions near the steering angle,suppress the sidelobe level and make the output signal-to-interference-plus-noise ratio(SINR) closer to the optimal one.