Abstract
The beam coverage directivity of mmWave communication brings great challenges to the application research of high-speed Internet of things (IoT) terminal devices, such as unmanned vehicles and unmanned aerial vehicles (UAV). Most of the existing millimeter wave beam tracking algorithms aim at AOA /AOD (Angles of Arrival/Angles of Departure) for continuous tracking estimation. However, the estimation error will increase rapidly with the increase of AOA/AOD change speed. Inspired by Auxiliary Beam Pair (ABP) algorithm, a robust two-stage beam tracking algorithm is proposed in this paper. First, AOA/AOD is estimated by the Unscented Kalman filter (UKF) algorithm, and then the AOA/AOD is modified by the improved ABP algorithm. The simulation results show that when AOA/AOD changes at a speed greater than 0.25 degrees per time slot, the proposed two-step beam tracking algorithm significantly reduces the estimation error and effectively increases the robustness of the same type of algorithm.
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