A Beam Tracking Method and System for UAV Communication

Abstract

The present application discloses a beam tracking method and system for unmanned aerial vehicle communication, wherein the beam tracking method for unmanned aerial vehicle communication includes: the ground user terminal initializes channel estimation, and obtains the initial beam angle vector; the ground user terminal and The UAV base station obtains the beam angle vector at time k and the beamforming vector at time k respectively according to the positioning information; the ground user terminal obtains the beam angle vector at time k, the beam angle vector at time k and the beamforming vector at time k based on the unscented Kalman The filtering beam tracking method is used for modeling, including state transition equations and measurement equations; the ground user terminal performs channel prediction according to the state transition equation and obtains filtering parameters and measurement value vectors; the ground user terminal updates the filter according to the filtering parameters and measurement value vectors. parameters and calculate the optimal beam angle. The present application has the technical effect of improving the beam alignment accuracy of the UAV base station to the ground user terminal.

Description

technical field [0001] The present application relates to the technical field of wireless communication, in particular to a beam tracking method and system for UAV communication. Background technique [0002] The mobile Internet and the Internet of Things drive the rapid development of the fifth-generation mobile communication (5G). Facing 2020 and beyond, mobile data traffic will show explosive growth. In order to cope with the explosive growth of data traffic in 5G, it is necessary to increase the channel bandwidth and configure a large-scale antenna array for the base station or terminal to increase the number of independent spatial streams or enhance the robustness of the signal. For some temporary hotspot scenarios, such as concerts and sports events, the temporary construction of small cell infrastructure is not only costly, but also has low utilization; for some emergency communication scenarios, such as earthquakes, fires, tsunamis and other disaster-stricken areas, ...

AI Technical Summary

Problems solved by technology

However, the beamforming of land communication mmWave MM mainly solves the beam tracking of the linear array 2D channel. The tracking angle only involves the azimuth angle, not the elevation angle. The linear array limits the coverage of the beam.

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