Key Technology And Simulation Of Weapon-Target Assignment

With the continuous development of informatization,the modern battlefield situation is complex and changeable.The battlefield situation has evolved from the original single-to-single combat to many-to-many combat.The automation and intelligence of combat command has become the focus of extensive research in various countries.Weapon-target allocation is an important part of combat command and decision-making.Aiming at the battlefield situation,making a reasonable and efficient weapon-target allocation mechanism plays a vital role in the outcome of the war.The weapon-target allocation problem is a typical combinatorial optimization problem.Based on the existing research results,this paper calculates the threat value of the weapon-target allocation premise attack target,improves the weapon-target allocation model,and solves the weapon-target allocation model with the improved algorithm.Finally,the dynamic weapon-target allocation model is studied by adding case-based reasoning.The main work of this paper is as follows:1.According to the characteristics of incoming targets in modern battlefields,the threat values of future targets are classified into dynamic threat target factors and static threat factors.The threat value of the incoming target is calculated by the combination of the dynamic and static threat value calculation methods.Finally,the weighted value between the dynamic threat factors is calculated by the analytic hierarchy process,and the total threat value of the incoming target is calculated by the calculated weight value,which lays a foundation for the subsequent weapon-target allocation.2.According to the combat form of modern warfare,the weapon-target allocation model is divided into one-to-one weapon-target allocation model and many-to-many weapon-target allocation model.Aiming at the characteristics of one-to-one weapon-target allocation,a one-to-one weapon-target allocation model based on eliminating the greatest threat is established.The one-to-one weapon-target allocation model is transformed into a standard assignment problem by model improvement,and finally the Hungarian algorithm is used to solve the model.In the many-to-many weapon-target allocation model,the threat value of the incoming target and the attack and defense confrontation information of the damageprobability of the attack target of our weapon platform are introduced,and the multi-to-many weapon target allocation model is implemented by the improved particle swarm optimization algorithm.The solution improves the convergence speed of the algorithm.3.Aiming at the characteristics of modern maritime air defense operations,this paper establishes a staged dynamic weapon target allocation model,and introduces the weapon aiming allocation mechanism of case-based reasoning in the staged dynamic weapon target allocation model,which improves the intelligence of weapon-target allocation.In the case-based reasoning process,the nearest neighbor algorithm is used to carry out the case retrieval.The method of combining the analytic hierarchy process and the cloud model is proposed to calculate the weight of the retrieval feature attribute.The simulation test is used to verify the established dynamic weapon-target allocation.The rationality of the case library meets the requirements of real-time battlefield.