Beam and Channel Tracking for 5G Communication Systems Using Adaptive Filtering Techniques: A Comparison Study

In this paper, we study the problem of beam tracking a multipath channel in millimeter-wave massive MIMO communication system using adaptive filters. We focus on performance least-mean-square filter (LMS) and recursive least-squares (RLS) algorithms, compared to reference extended Kalman (EKF), scenarios where wireless is dominated by single line sight (LOS) path or small number strong paths. The signal direction coefficients are tracked updated these Our results recommend that beamforming systems at bands should consider variable paths rather than dominant LOS path. Furthermore, show mean squared-error (MSE) innovation process gives better overall view MSE state parameters.