A robust MVDR beamforming based on covariance matrix reconstruction
Pengcheng Mu, Dan Li, Qinye Yin · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
The minimum variance distortionless response (MVDR) beamformer has better resolution and much better interference rejection capability than the data-independent beamformers. However, the former is much more sensitive to errors, such as the array steering errors caused by direction of arrival mismatch or imprecise sensor calibrations or any other possible factors, especially in the case of high signal-to-noise ratio. In this paper, a new robust MVDR beamformer against the general steering vector errors is proposed. This method is based on the reconstruction of the covariance matrix which aims to reduce the power of the signal of interest (SOI). The eigenanalysis technique is used in the process of forming the SOI component and modifying the residual covariance matrix. Numerical simulations show that this method has excellent signal-to-interference-plus-noise ratio performance under the mismatched condition.