Unmanned aerial vehicle cooperative positioning system and method based on graph neural network
A technology of co-location and neural network, applied in the field of UAV co-location system, it can solve the problems of difficult to achieve real-time performance and increased computing requirements, and achieve the effect of high positioning accuracy, strong anti-interference ability and low server requirements.
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[0136] The UAV collaborative positioning system is built by using the server, UAV simulation platform and 16 UAVs. A heat source target is set 1000 meters away from the server, and the UAV is equipped with an infrared detection sensor.
[0137] The 8th generation i5 integrated display notebook is used as the server. The performance of this server is weak. In the normal centralized control mode, it can support the control command calculation of up to 8 drones.
[0138] Set the predicted target position on the server to deviate from the actual target position by 100 meters.
[0139] A graph neural network model is set in the UAV. The graph neural network model includes a graph convolutional network and multiple fully connected networks. The input of the graph convolutional network is the UAV's own low-dimensional features and the low-dimensional Dimensional features and graph adjacency matrix, low-dimensional features, the UAV's own low-dimensional features are obtained by compu...
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