Robust Virtual Array Transformation Beamforming Approach Against Jammer Motion

Abstract

Virtual array transformation (VAT) is an effective virtual antenna array beamforming approach, by which the degrees of freedom of antenna array can be increased and more interference can be inhibited. However, jammer motion cannot be handled by the existing VAT beamforming approaches. In order to solve the problem, a robust VAT beamforming approach against jammer motion is proposed. The Kronecker product of the virtual array covariance matrix is used for beamforming. The interference component in the covariance matrix is greatly strengthened and a bunch of virtual interference is created, so wide nulls can be obtained, by which jammer motion can be effectively inhibited. The validity of the proposed approach is verified by theoretical analysis and simulation results.