Robust adaptive beamforming in impulsive noise environments
Mojtaba Hajiabadi, Hamid Reza Radmanesh, Mahmood Samkan · IET Radar Sonar & Navigation · 2019
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.