A Novel Robust Beamformer based on Worst-case Performance Optimization

This paper considers robust array beamforming in the presence of steering vector errors. Recently, robust Capon beamformers (RCB), presented by Li Jian et. al, demonstrate the advantages of less sensitivity to steering angle error over conventional beamformers. But these methods suffer from the performance degradation with inaccurate choice of epsiv ( epsiv is the module of steering vector errors). To deal with this drawback, a novel robust beamforming algorithm is proposed based on double constraint worst-case performance optimization, in which the parameter epsiv can be adaptively determined. Compared with the RCB algorithm, the proposed method has better performance in our simulation conditions