Robust adaptive beamforming based on propagator method and Eigenspace Beamformer

Abstract

A novel algorithm based on propagator method (PM) and Eigenspace Beamformer (ESB) for robust adaptive beamforming is presented. It has robust characteristics under the conditions of finite samples, desired signal point error and high SNR environment. By using PM, the signal subspace can be derived by propagator matrix, which does not need the complicated eigenvalue decomposition (EVD) or singular-value decomposition (SVD). The efficiency of this method is verified by numerical simulations.