Recursive robust variable loading mvdr beamforming in impulsive noise environment

This paper proposes a new recursive variable loading minimum variance distortionless response (RVL-MVDR) algorithm for robust beamforming in impulsive noise environment. It employs a new method for robust estimation of the sample covariance matrix under impulsive noise and a new method for computing the data-dependent loading level using robust statistics. Computer simulations suggest that the proposed algorithm performs considerably better than the conventional sample matrix inversion (SMI)-MVDR and variable loading (VL) MVDR algorithms in impulsive noise environment.