Research On Target Threat Assessment Of UAV And Cooperative Combat Task Assignment

The superiority of Unmanned Combat Vehicle(UCAV)in reconnaissance and counter-terrorism has received extensive attention from military at home and abroad.Threat assessment and mission assignment are the core parts of the whole UAV mission planning system.It has become a major technology in modern battlefield.This paper mainly focuses on the research of UCAV threat assessment and cooperative mission assignment.The main contents are as follows:(1)Aiming at the problem of aerial target threat assessment,a method of aerial target threat assessment based on wavelet neural network is proposed.In this method,wavelet transform is embedded into neural network,which is called "compact fusion".It not only has good adaptive resolution,good approximation ability and fault-tolerant ability,but also can effectively avoid falling into local minimum.The structure of WNN and the main factors influencing the threat assessment of air target are analyzed,the training algorithm and flow chart of WNN are given,and the simulation results show that.The evaluation error of this method is obviously smaller than that of particle swarm optimization BP neural network and BP neural network.(2)Aiming at the task assignment of multi-UAV,the capability function of UAV is first established.Through the Jacobian matrix of capability function,the calculation method of cooperative strike position and pitch angle of UAV is given.Then,the factors affecting the task allocation of multi-UAV are analyzed,the cooperative task allocation model of multi-UAV is established,the assignment method of multi-UAV cooperative strike task is given,and the simulation is carried out.By comparing the proposed method with the traditional method,it is found that the former has paid a lower cost and obviously improved the rationality of multi-UAV task allocation.Finally,this paper summarizes the research results,and introduces the prospect of research shortcomings and future work.