Wireless communication method between information processing terminal and another information processing terminal

Abstract

The invention discloses a wireless communication method between an information processing terminal and an another information processing terminal. The information processing terminal comprises: an unmanned aerial vehicle and a control station, and the information processing terminal comprises a processor; a memory coupled to the processor, the memory storing instructions; a transceiver coupled with the antenna array; a beamformer coupled with the transceiver; a global positioning system; and a rotation sensor which is used for sensing the rotation direction information of the information processing terminal. According to the information processing terminal, directional transmission or receiving is achieved through beam forming, the power of received signals is enhanced, and therefore the high signal-to-noise ratio is provided.

Description

technical field [0001] The invention relates to the field of wireless communication in unmanned aerial vehicles, in particular to an information processing terminal and a wireless communication method between information processing terminals. Background technique [0002] An unmanned aerial vehicle (hereafter referred to as UAV), commonly referred to as an unmanned aircraft or "drone," is an aircraft that flies without a human pilot on board. Some UAVs can be controlled, operated, or piloted in real-time by an operator through a ground-based control system, such as a remote control console. Some UAVs can be supervised in real time by operators via ground-based monitoring systems, but not piloted. There are also UAVs capable of autonomous control in flight and include navigation instruments and control circuits that allow the UAV to navigate in real time without the assistance of a human operator. [0003] Regardless of the degree of operator control required to fly a UAV, ...

AI Technical Summary

Problems solved by technology

However, frequent channel feedback and beam table training will add a large amount of communication overhead, which will lead to a decrease in spectral efficiency and data transmission throughput

Furthermore, both channel sounding and beamtable training require specially designed protocols, which undesirably lead to increased design complexity and manufacturing cost

[0007] Similarly, at the receiving device, pre-trained sector-based receive beamforming also has difficulties in channel estimation due to the fast channel variation

Receive beamforming based on channel estimation using inserted training signals cannot be used to improve the performance of packet detection and synchronization because at these stages channel estimation is not yet available

For packet-based communications, if receive beamforming cannot be applied to the channel pre-estimation part, the benefits of receive beamforming are limited since the link budget is limited by the channel pre-estimation part

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