1 research outputs found
Robust and Low Complexity Beam Tracking with Monopulse Signal for UAV communications
UAV communications based on an antenna array entail a beam tracking
technology for reliable link acquisition. Unlike conventional cellular
communication, beam tracking in UAV communication addresses new issues such as
mobility and abrupt channel disconnection from UAV's perturbation. To deal with
these issues, we propose a beam tracking scheme based on extended Kalman filter
(EKF) using a monopulse signal, which can provide (1) higher robustness by
offering a reliable link in the estimated spatial direction and (2) lower
complexity compared with the existing conventional beam tracking schemes. We
point out the limitations of using a beamformed signal as a measurement model
for a Kalman filter (KF) based scheme and instead utilize the monopulse signal
as a more plausible model. For the performance evaluation, we derive the upper
bound of the mean square error for spatial angle estimation of UAV and confirm
that the proposed scheme is stable with a certain bounded error. We also show
from various simulations that the proposed scheme can efficiently track UAV and
detect beam disconnection every time frame using a beamformed signal