2019/11/05 by Sina Shaham, Matthew Kokshoorn, Shaham, Sina +7 · 1 citation
Engineering · #FOS: Electrical engineering #Microwave Engineering and Waveguides #Millimeter-Wave Propagation and Modeling #Radio Wave Propagation Studies #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1911.01638
openalex publication_date 2019/11/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Millimeter-wave (mmWave) communication is a promising technology to meet the\never-growing data traffic of vehicular communications. Unfortunately, more\nfrequent channel estimations are required in this spectrum due to the narrow\nbeams employed to compensate for the high path loss. Hence, the development of\nhighly efficient beam tracking algorithms is essential to enable the\ntechnology, particularly for fast-changing environments in vehicular\ncommunications. In this paper, we propose an innovative scheme for beam\ntracking based on the Extended Kalman Filter (EKF), improving the mean square\nerror performance by 49% in vehicular settings. We propose to use the position,\nvelocity, and channel coefficient as state variables of the EKF algorithm and\nshow that such an approach results in improved beam tracking with low\ncomputational complexity by taking the kinematic characteristics of the system\ninto account. We also explicitly derive the closed-from expressions for the\nJacobian matrix of the EKF algorithm.\n