A Broadband Millimeter Wave Beam Tracking Method Based on Vehicle Trajectory Cognition

Abstract

The invention discloses a wideband millimeter wave beam tracking method based on vehicle motion trajectory cognition, and relates to the field of wireless communication. First, according to the positions and attitudes of the two vehicles at the initial moment in the communication scene, a rough estimation value of the beam angle is obtained, and the following steps are taken as follows: Starting from a moment, the state of the vehicle is judged according to the sudden change rate of the transmission beam angle; if it is in the sudden change of steering mode, the observed value of the received signal is calculated. If it is in the smooth change mode, the observed value is calculated. In the algorithm, the beam size estimation is performed to obtain the optimal value and u k ; And use the beamforming value at the current moment to re-estimate the sending and receiving beamforming vector to adjust the vehicle, and send the pilot signal at the next moment; By continuously adjusting the beamforming vector at each moment, the beam tracking within the error range is obtained. The invention improves the accuracy and reliability of beam tracking in the case of sudden angle change.

Description

technical field [0001] The present invention relates to 5G broadband millimeter-wave beam tracking technology in the field of wireless communication, in particular to a broadband millimeter-wave beam tracking method based on the recognition of vehicle motion trajectories. Background technique [0002] Aiming at the problems of insufficient spectrum resources, limited communication link capacity, and poor timeliness faced by broadband sensing information transmission in the autonomous driving network, the millimeter wave broadband transmission method can improve the communication link capacity. Compared with the traditional low-frequency band below 6GHz, the millimeter-wave high-frequency band can provide tens of gigabits of transmission rate, which is one of the candidate technologies for the efficient transmission of broadband perception information in the Internet of Vehicles. However, the signal penetration ability of the millimeter wave band is weak, the channel quality ...

AI Technical Summary

Problems solved by technology

[0005] First, the current beam tracking scheme does not consider the high-mobility workshop mmWave communication scenario at both ends of the transmitter and receiver, and cannot solve the problem of reliable mmWave communication between vehicles, and cannot scientifically characterize the nonlinear fast-changing beam and vehicle trajectory essential relationship between

[0006] Second, in the extreme scene of vehicle turning and changing lanes, the impact of the sudden change in the beam angle of the workshop caused by the steering movement of the vehicle is not considered, and the beam angle between the transmitting and receiving ends is difficult to track

[0007] Therefore, the current beam tracking scheme cannot make full use of vehicle behavior cognition to achieve fast and accurate beam tracking and ensure broadband and reliable mobile communication in the Internet of Vehicles network.

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