Research On UAV-Ad Hoc Network Technology Based On Information Grid

In the future war,the battlefield environment becomes more integrated and complicated,and the warfare is carried out in parallel in many dimensions such as land,sea,air and sky.Whether or not the information can be superior is the key to the success of the war.At the same time,weapons and equipment continue to innovate,and drones,as representatives of high-tech,play a higher operational efficiency in the modern battlefield.The UAV Ad hoc network technology combines the aeronautical Ad hoc network technology with the UAV system.It is a three-dimensional UAV combat system that can realize the sharing of air intelligence,formation status and ground remote control signals.The grid digital map can be used as the information acquisition tool for the UAV Ad hoc network,and the battlefield information can be presented in real time and in three dimensions.Therefore,the UAV Ad hoc network technology based on information grid has become one of the key technologies in the field of UAV wireless communication technology.In this paper,the network characteristics,clustering algorithm and raster information of UAV Ad hocd network are studied for high-frequency topology changes in UAV systems,energy limitation of small and medium-sized UAVs,and cooperative tasks and path planning of UAVs.Based on the network characteristics of the network,the existing UAV Ad hoc network is optimized,the robustness of the Ad hoc network is improved,and the efficiency of the UAV cooperative task is improved,and the UAV route is more accurately planned.An ad hoc network transmission and mission planning scheme more suitable for multi-UAV clusters is proposed.The main research work of the thesis is as follows:(1)Based on the research of the related technology of the Ad hoc network clustering algorithm,according to the characteristics of small and medium-sized UAV nodes with limited energy and difficult to replenish in time,a multi-UAV cluster suitable for UAV Ad hoc network is proposed.The adaptive clustering algorithm integrates the adaptive node degree difference,the node residual energy and the motion similarity,and uses the centroid weight weighting to reasonably allocate the total energy of the UAV system to maximize energy utilization and prolong the life of the system.(2)Based on the basic theory of digital grid information network,a multi-UAV target search algorithm based on 3D grid is proposed.Firstly,a UAV collaborative task strategy is designed,and a digital grid map based on environmental factors is constructed.The two-dimensional grid information is transformed into three-dimensional grid information.The measurement and characteristics of the cross-section of the search target are obtained by airborne synthetic aperture radar.The identification of points improves the discovery rate of specific targets in a dynamic environment,thereby improving the efficiency of multi-UAV collaborative tasks and optimizing the network structure of the UAV Ad hoc network.(3)Based on the application of image recognition algorithm in ad hoc networks,combined with digital grid map,a multi-UAV voyage based on sift operator is designed while considering the influence of different illumination and relative motion on the route.Route planning method.By optimizing the silft operator,the image space is constructed,and the feature points of the blurred image are matched with the image space to eliminate the aerial image blur caused by the terrain blind zone and the curvature of the earth on the radar of the drone during the route detection.At the same time,construct a motion blur space to eliminate image blur caused by relative motion.The processed blurred image is re-projected to the three-dimensional grid map,and the battlefield environment is grasped in real time,and the voyage planning for the multi-UAV formation flight is performed.