Robust adaptive beamforming in impulsive noise environments

Adaptive beamforming is one of the most important parts of a smart antenna. The most existing adaptive algorithms are based on the second-order-moment of the error signal like least-mean-square and recursive-least-square (RLS) algorithms. Although these algorithms are popular, their performances are not robust in impulsive noise environments. A linearly constrained correntropy-based adaptive algorithm to solve the beamforming problem in impulsive noises is proposed in this study. The kernel width parameter of the proposed algorithm is considered to be time-varying to deal with non-stationary and impulsive environments. Simulation results illustrate that the proposed beamforming algorithm has a robust performance in impulsive noise. Moreover, the computational complexity of the authors' algorithm is less than the recent algorithms presented in this literature.