Iterative robust Capon beamforming

• DOI: 10.1016/j.sigpro.2015.07.004
• Publication Date: 2015-07-20T22:35:27Z
• Authors: Yang Li; Hong Ma; De Yu; Li Cheng
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

Signal steering vector (SV) error can cause desired signal cancellation in adaptive beamforming. A covariance fitting based robust Capon beamforming (CFRCB) has been developed to solve this problem. Such a solution cannot be expressed in a closed form and its performance is highly affected by the initial value of SV error norm bound. In this paper, we propose an approximate closed-form expression of CFRCB, then develop two novel beamformers based on iterative implementation of this closed-form expression. Theoretical analysis and simulation results indicate that these beamformers improve in performance with every iterative step and converge to a stabilized solution. In addition, they perform well through a wide range of initial SV errors norm bound range, are easily implemented and computationally efficient. We also present a number of numerical examples comparing the proposed beamformers with similar classical beamformers. HighlightsWe propose a closed-form expression of covariance fitting based RCB.We develop two novel efficient iterative robust Capon beamformers.We prove the iterative convergence properties and discuss on other properties.The two proposed beamformers perform stably through a wide initial value.Pointing error, calibration error, and array element position error are simulated.