Research On Key Technologies Of Intelligent UAV Wireless Monitoring And Control Network

Unmanned aerial vehicle(UAV)swarm cooperative flying,which has a large number of index,simulates the cooperative behavior and information interaction of swarm organisms,and accomplishes the combat task in an autonomous and intelligent way.It is of great significance in military research.However,the low-cost and low-power requirements of large-scale and intensive use of application scenarios and platforms pose a series of serious challenges to wireless networking measurement and control within the UAV swarm and between the swarm and the control center,including inadequate communication link budget,difficulties in rapid integration and inexpensive network resource allocation.To address the challenges,this paper studies the wireless measurement and control network of UAV swarm.A wireless measurement and control network and its simulation environment are constructed based on LTE private network communication technology and low-power Internet of Things LoRa technology.Some technologies are tested and verified in the field,including the following aspects:(1)This paper summarizes the wireless measurement and control technology of UAV,especially the research status of networked measurement and control technology,analyzes the new challenges brought by low-cost large-scale UAV swarm to wireless measurement and control network,and then introduces the communication technology applied to UAV bee colony and heterogeneous hybrid wireless measurement and control network suitable for UAV bee colony task characteristics.(2)Modeling simulation and performance analysis of a dedicated LTE cluster mobile communication network in a UAVswarm application scenario.Firstly,the LTE node,gateway and link resource model in NS-3 are introduced.Then,according to the mobile characteristics and mission requirements of the UAV swarm in the actual scene,a hybrid building propagation model conforming to the channel characteristics and the node-like features of the three-dimensional Gaussian Marco are constructed.The mobile model and various data propagation models that conform to the application characteristics.The whole process of the swarm mission was simulated.The feasibility and implementation of the LTE private network communication technology applied to the UAV bee colony wireless measurement and control network were verified by simulation experiments.(3)Modeling of UAVs based on low power consumption Internet of things(Lo Ra)technology.Firstly,the LoRaWAN network model is constructed based on NS-3 simulation,which is explained from three aspects: physical layer,data link layer and application layer.Then through simulation to analyze the impact of the number of terminals,different types of data streams and capture effects on network performance,the problems existing in the application of LoRa technology in the drone group are summarized,and the corresponding solutions are proposed.(4)LoRa WAN network expansion technology based on precise time slot allocation.The problem of direct application in the traditional LoRa WAN network is analyzed.Combined with TDMA technology and ALOHA protocol,the time slot allocation algorithm is proposed to improve the traditional access mode.In the Class B class,the gateway synchronizes the terminal with the beacon,and combines the slot allocation algorithm to cause the terminal to wake up in a predetermined time slot and communicate with the gateway.The improved protocol was built based on NS-3,and the performance of the improved protocol was analyzed through a large number of simulations.