Izvorni znanstveni članak
https://doi.org/10.24138/jcomss-2021-0117
Beam and Channel Tracking for 5G Communication Systems Using Adaptive Filtering Techniques: A Comparison Study
Mohanad Al-Ibadi
; Al-Furat Al-Awsat Technical University, Najaf, Iraq
Farhad E. Mahmood
; University of Mosul, Mosul, Iraq
Sažetak
In this paper, we study the problem of beam tracking of a multipath channel in millimeter-wave massive MIMO communication system using adaptive filters. We focus on the performance of least-mean-square filter (LMS) and recursive least-squares filter (RLS) algorithms, compared to a reference extended Kalman filter (EKF), in scenarios where the wireless channel is dominated by a single line of sight (LOS) path or a small number of strong paths. The signal direction and channel coefficients are tracked and updated using these filters. Our results recommend that beamforming systems at millimeter-wave bands should consider variable number of paths rather than a single dominant LOS path. Furthermore, we show that the mean squared-error (MSE) of the innovation process gives a better overall view of the tracking performance than the MSE of the state parameters.
Ključne riječi
Beam tracking; Channel tracking; mmWave; multipath; LMS; RLS; EKF
Hrčak ID:
281567
URI
Datum izdavanja:
30.9.2022.
Posjeta: 599 *