Unmanned aerial vehicle alignment system and alignment method based on deep learning motion prediction

Abstract

The invention discloses an unmanned aerial vehicle alignment system and method based on deep learning motion prediction. The system consists of a ground directional antenna platform and an unmanned aerial vehicle platform, and mainly comprises a position collection module, a motion prediction module, a pitch angle and azimuth angle calculation module, and a rotation alignment module. The method isbased on deep learning and a particle filter. A neural network is trained through existing historical data; predicting the position of the unmanned aerial vehicle by using the model. Therefore, the attitude angle required by the antenna platform is calculated in real time, the problem that the directional antenna cannot be accurately aligned with the unmanned aerial vehicle due to factors such ascommunication time delay and time required by rotation of the directional antenna platform is solved, and the real-time accurate alignment of the directional antenna to the unmanned aerial vehicle can be realized with relatively low algorithm complexity.

Description

technical field [0001] The invention belongs to unmanned aerial vehicle relay communication technology, in particular to an unmanned aerial vehicle alignment system and alignment method based on deep learning motion prediction. Background technique [0002] In the fifth-generation mobile communication (5G) era, research on using drones as a relay communication platform and using directional antennas to communicate at ground stations has received more and more attention. However, since the UAV uses millimeter waves for communication in this process, and the operating frequency is above 30GHz, the beam divergence angle is small and the sidelobe is low. Therefore, the antenna platform must be accurately aligned with the UAV to effectively transmit information. Therefore, how to accurately align the antenna platform in real time has become a core issue. [0003] The UAV alignment method based on the Global Positioning System (GPS) has been widely used in the automatic tracking ...

AI Technical Summary

Problems solved by technology

However, the traditional GPS-based UAV alignment method is to calculate the angle at which the flat-panel directional antenna needs to be rotated based on the GPS data sent back by the UAV at the previous moment. When the UAV moves, the precise alignment effect of the antenna will poor

Therefore, the traditional GPS-based UAV alignment method is not suitable for UAV relay communication technology

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