Information Fusion And Resource Allocation Of LEO Satellites Sensor Network

With the application of space technology in military operations,all countries strive to seek space military deterrence to ensure the national security is not threatened.The establishment of space defense system is very important to detect,monitor and track the attacking target.Compared with single satellite observation,multiple satellites have incomparable advantages through joint observation,which can expand the range of reliable tracking and obtain more accurate target information.The information fusion and resource allocation of LEO satellites sensors in the LEO satellites sensor network can make the resources get reasonable planning and allocation,thus greatly improving the tracking and positioning performance of the target.This paper mainly includes the following parts:First of all,based on the study of single satellite coverage performance,this paper discusses the LEO satellites sensor network,and analyzes the constraints and design principles that need to be considered in the constellation design of the LEO satellites sensor network.Through the interconnection of MATLAB/STK,the LEO satellites sensor network constellation is simulated and designed,and seven constellation schemes are built.At the same time of satellite height and number,the constellation compares the coverage performance of most of China's mainland and coastal areas,achieving the seamless coverage of the satellite sensor network to the target area.From the perspective of improving the coverage of the target,the tracking scenario of the LEO satellites sensor network for ballistic missiles is built.The simulation results show that the LEO satellites sensor network has good tracking coverage performance.Secondly,on the LEO satellites sensor network system,the passive geometric positioning principles of dual-satellite positioning and multi-satellite positioning are derived,and simulation experiments are designed to analyze the tracking accuracy changes when the number of tracking satellites is different.By combining extended Kalman filter,traceless Kalman filter and information filter,based on EIF nonlinear centralized observation dimension expansion fusion algorithm and based on UIF nonlinear centralized observation dimension expansion fusion algorithm are realized,and the two fusion algorithms are verified by simulation.The simulation results show that the two fusion algorithms can effectively fuse the data information observed by multi-sensor,achieve high-precision tracking quickly,and achieve tracking convergence quickly.Based on UIF nonlinear centralized observation dimension expansion fusion algorithms has better tracking performance for missile free segment.Thirdly,the paper studies the coverage,time and other factors involved in the target detection of the satellite sensor network constellation system,and establishes the resource management model of the satellite sensor network constellation system by AHP.The simulation results with MATLAB and STK software show that the two algorithms can effectively schedule the satellite sensors,and the resource management algorithm based on AHP has higher tracking accuracy and fewer handover times,which realizes the target positioning across the satellite and the region The purpose of resource management.Finally,the GUI system of "Information Fusion and Resource Allocation of LEO satellites Sensor Network" was developed and designed.The whole system is composed of four modules:single-satellite coverage performance,constellation optimization design,target tracking of the LEO satellites sensor network and resource management of the LEO satellites sensor.The main program is integratedly designed in the form of visualization,and the relevant modules can be simulated only by inputting the corresponding parameters,avoiding repeated modification in the program,making each module visually intuitive and having certain practical value.