An improved approach to robust capon beamforming with enhanced performance
Huiping Huang, Bin Yih Liao, Chongtao Guo, Lei Huang · 2016
In this paper, the approach of robust Capon beam-forming (RCB) in the presence of steering vector mismatch is studied. A new method to enhance the robustness is presented. More specifically, it is proposed herein to remove the component of the desired signal from the array covariance matrix by estimating the corresponding steering vector and signal power, such that the influence caused by the presence of desired signal in the training data can be reduced, especially in the case of high signal-to-noise ratio (SNR). Furthermore, the uncertainties involved in the resulting interference-plus-noise covariance matrix estimate is taken into account by formulating a min-max optimization problem. Simulation results demonstrate that the performance of the RCB algorithm can be improved by the proposed approach.