Relay unmanned aerial vehicle deployment method and device

Abstract

One or more embodiments of the invention provide a relay unmanned aerial vehicle deployment method and device, and the method comprises the steps: determining the position of at least one unmanned aerial vehicle in an unmanned aerial vehicle network, determining an optimization target of the unmanned aerial vehicle network according to the network parameters of the unmanned aerial vehicle network, calculating a reward value according to the optimization target based on a deep Q learning method, and determining the position of the relay unmanned aerial vehicle in the unmanned aerial vehicle network. The relay unmanned aerial vehicle is deployed in the unmanned aerial vehicle network, the relay unmanned aerial vehicle moves according to the deployed moving track in the unmanned aerial vehicle cooperative target tracking process, information transmission between cooperative unmanned aerial vehicles can be achieved through the relay unmanned aerial vehicle, the communication quality is guaranteed, the time delay and energy consumption are reduced, the information consensus is improved, and the target tracking precision and stability are improved.

Description

technical field [0001] One or more embodiments of this specification relate to the technical field of drones, and in particular to a method and device for deploying relay drones. Background technique [0002] With the development of communication and UAV technology, UAV has been used in intelligence reconnaissance, search and rescue, communication interruption and armed attack and other fields. In a UAV network with multi-UAV architecture, when multi-UAVs cooperate to track targets, due to the high-speed movement of UAVs and the limited communication range, the communication link between UAVs is easily interrupted frequently , resulting in the inability to accurately agree on multiple moving targets during multi-UAV cooperative tracking; at the same time, with the increase in the number of UAV fleets, the path of information consensus becomes complicated, and the received information may have a certain delay , seriously affect the accuracy of target tracking, and even cause...

AI Technical Summary

Problems solved by technology

In a UAV network with multi-UAV architecture, when multi-UAVs cooperate to track targets, due to the high-speed movement of UAVs and the limited communication range, the communication link between UAVs is easily interrupted frequently , resulting in the inability to accurately agree on multiple moving targets during multi-UAV cooperative tracking; at the same time, with the increase in the number of UAV fleets, the path of information consensus becomes complicated, and the received information may have a certain delay , which seriously affects the accuracy of target tracking, and even leads to the loss of the target

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