Research On The Construction Method Of Electromagnetic Environment Map Based On Unmanned Aerial Swarm

The electromagnetic environment map describes the electromagnetic environment from multiple dimensions and visualizes the distribution of electromagnetic energy and spectrum resources.By constructing the electromagnetic environment map,the electromagnetic radiation source,electromagnetic propagation path,space environment entity and other information in the electromagnetic environment can be obtained,so as to realize the overall perception of the electromagnetic environment situation.In order to construct the electromagnetic environment map,it is necessary to collect the electromagnetic information in space.With the advantages of Unmanned Aerial Vehicle(UAV)'s flexibility and easy layout,it can realize the acquisition of electromagnetic information in unknown complex regions.However,the measurement equipment carried by a single UAV is limited and the electromagnetic information data can be acquired is very small.Therefore,Unmanned Aerial Swarm(UAS)is needed to improve the acquisition amount of electromagnetic information.This thesis studies the construction method of electromagnetic environment map based on UAS,and the details are as followed:Electromagnetic environment monitoring mainly provides data support for the application of electromagnetic environment map construction and other technologies by statistical signals of various electromagnetic radiation source in the environment.Therefore,UAS is needed to monitor the electromagnetic radiation source in the region.To solve this problem,a Wolf pack algorithm based on digital pheromone is designed and implemented for UAS electromagnetic environment monitoring.The specific contents are as followed: A Wolf Pack Algorithm(WPA)based on digital pheromone is proposed to optimize the track of UAS and improve the efficiency of electromagnetic environment monitoring.In view of the limited ability of a single UAV to obtain information in the process of monitoring,in order to use the local information obtained by the UAS to construct a global map,a distributed data aggregation method based on the social structure of wolves is proposed.The aggregated electromagnetic information data is saved to the leader of the UAS,which is used to realize the high-precision construction of the electromagnetic environment map of the entire area.Since UAS can only obtain part of the electromagnetic information data during electromagnetic environment monitoring,in order to build a high-precision electromagnetic environment map,a method of electromagnetic environment map construction based on partial convolution and attention mechanism is designed and implemented for the data aggregated by UAS at the leader UAV.Specific contents are as followed: Considering the incompleteness of input electromagnetic data,a new electromagnetic environment map construction method is designed by adding partial convolution and attention mechanism to U-NET network architecture.Simulation results show that the proposed method is superior to interpolation method and generative adversarial network method in construction accuracy.At the same time,comparing the accuracy of electromagnetic environment map construction for UAS based on data obtained under different monitoring methods,which verifies the validity of digital pheromone-based Wolf Pack Algorithm and distributed data aggregation method.In order to verify the effectiveness of the proposed methods,WiFi directional antenna is used as radiation source to construct electromagnetic distribution in space,and indoor positioning of UAS is provided by motion capture system.The ESP-8266 chip is used to measure the data.A hardware-in-the-loop simulation platform is built with quadrotor UAVs and measurement chip as the main experimental demonstration carrier.This platform is used to verify the effectiveness of the proposed methods.