Beam tracking method and system for unmanned aerial vehicle communication

Abstract

The invention discloses a beam tracking method and system for unmanned aerial vehicle communication, and the method comprises the steps that a ground user terminal initializes channel estimation, andobtains an initialized beam angle vector; the ground user terminal and an unmanned aerial vehicle base station respectively obtain a beam angle vector at the k moment and a beam forming vector at thek moment according to the positioning information; the ground user terminal performs modeling based on an unscented Kalman filter beam tracking method according to the initialized beam angle vector, the k-moment beam angle vector and the k-moment beam forming vector, wherein the modeling comprises a state transition equation and a measurement equation; the ground user terminal performs channel prediction according to the state transition equation and obtains a filtering parameter and a measurement value vector; and the ground user terminal updates the filtering parameter according to the filtering parameter and the measurement value vector and calculates the optimal beam angle. The method and system have the technical effect of improving the beam alignment precision of the unmanned aerialvehicle 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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