Research On Ground Target Threat Assessment And Multi-platform Decision Allocation Algorithm

Making full use of internal resources,establishing a reasonable decision-making and distribution scheme and realizing efficient attack on the target has gradually become one of the important means to improve the command ability of the air platform.There are some defects in the application of the existing decision allocation schemes,including too long decision-making time,failure to maximize damage efficiency,repeated attack and so on.It is necessary to further study the decision allocation algorithm.A single decision allocation algorithm often can not be closer to the strike requirements and lacks comprehensiveness and accuracy.In complex air to ground battlefield,it is necessary to make comprehensive use of the internal resources of air formation,give full play to the cooperation ability between weapon platforms and complete the effective interception of targets.Therefore,for the problem of multi platform collaborative decision-making and allocation,taking the ground threat target as the main research object,the research on high compatibility multi platform decision-making and allocation algorithm has important theoretical significance and practical value for solving the problem of modern command and decision-making.The main research contents of the subject are as follows:Firstly,in view of the incomplete construction of the theoretical system of ground target threat assessment,the threat indicators are divided in function,logic and level according to the establishment methods and principles of the index assessment system,the overall index assessment system is constructed according to the indicators,the specific evaluation method of sub indicators is studied,the principle of determining the index weight is analyzed,and the method of determining the index weight is discussed,Lay the foundation for decision-making and allocation.Secondly,based on the ranking of threat degree,the single platform decision allocation algorithm is further studied.This paper analyzes the decision-making allocation problem of air platform and ground threat target,establishes the decision-making allocation model based on threat degree,solves the established model by genetic algorithm,obtains the allocation scheme,and analyzes the characteristics of the decision-making process;Aiming at the existing problems of genetic algorithm,this paper improves it,and carries out simulation experiments to verify the improvement of the solution performance of the improved algorithm.Thirdly,considering the errors in the handover process of multi platform collaborative decision-making,the error analysis of the handover process is carried out,and the instruction error model is deduced;The least square method and mlrm method are used to estimate the error effectively,and the estimated value is fed back to the command.The simulation analysis verifies the improvement of the error between the position command parameters and the actual position,and improves the success probability of guidance handover.Finally,under the condition of ensuring the handover feasibility and determining the allocation scheme,the judgment conditions of collaborative compatibility between multiple platforms are analyzed,the fire cross model is established,and the problem of decision compatibility constraint satisfaction is modeled.A compatibility constraint satisfaction algorithm based on iterative optimization is proposed.On this basis,considering the cooperative combat capability between multiple platforms,a distributed constraint satisfaction algorithm based on asynchronous backtracking is proposed to continuously adjust the original single platform decision-making and allocation scheme,so as to meet the requirements of real-time,accuracy,resource minimization and attack value maximization of multi platform cooperative combat.