Research On Cooperative Interference Decision Method In Confrontation Environment

The rapid development of electronic technology and weapons equipment has promoted the transformation of the war situation.Electronic warfare has become more and more important in modern warfare,and has gradually become the main method of warfare.According to the battlefield environment,reasonable interference decision-making can achieve better combat results,so the interference decision part is in a very critical position in combat.In view of different confrontation environments,choosing appropriate interference solutions can enhance the interference effect and overall revenue,to some extent,it also can reduce the loss of interference resources and equipment.Regarding the interference decision of a single jammer against a single radar,this paper aims at the two-person zero-sum game-based decision that only considers the maximum profit value of the interference party and ignores the cost of making the decision.An interference decision method based on the minimum loss criterion to solve the decision problem of a single jammer interfering with a single radar.Firstly,a profit matrix is established based on the oneto-one strategy evaluation results of the radar side and the interference side;secondly,the profit matrix is converted into a loss matrix;finally,the iterative-Brown algorithm is used to solve the loss matrix to obtain a single jammer interference decision result based on the minimum loss criterion.The simulation shows that the interference decision method based on the minimum loss criterion effectively reduces the loss value of the decision.In terms of the static multi-jammer cooperative interference decision algorithm,this paper aims at the shortcomings of the current commonly used optimization algorithms that are greatly affected by human factors and the search method is inefficient.An improved artificial bee colony algorithm with directed mutation is proposed to solve the problem of static multijammer cooperative interference decision.Firstly,establish an interference benefit matrix based on the one-to-one evaluation results of the jammer and the radar,set the constraint conditions,determine the objective function and establish an interference countermeasure model;secondly,the directed mutation strategy is introduced into the artificial bee colony algorithm,which makes the algorithm better find the optimal solution in the neighborhood search process;finally,the directed mutation artificial bee colony algorithm is used to make a decision on the cooperative interference of multiple jammers under static conditions.The simulation shows that the ability and speed to find the optimal solution of the directed mutation artificial bee colony algorithm have been enhanced to a certain extent.In terms of dynamic multi-jammer cooperative interference decision,this paper aims at the problem of unsatisfactory profit value of existing algorithms.A new algorithm based on improved contract network is proposed to solve the problem of interference decision under dynamic conditions.Firstly,the directed mutation artificial bee colony algorithm used to get the static decision results;secondly,the parallel transaction mechanism and priority ranking are introduced into the contract network algorithm,so that the algorithm reduces the number of transaction rounds and confirms the bidding task according to the actual dynamic situation to improve the profit value of the algorithm decision;finally,according to the actual emergencies,the algorithm based on the improved contract network is used to make a decision on the coordinated interference of multiple jammers under dynamic conditions.The simulation shows that the ability to find the optimal solution of the improved contract network algorithm has been promoted.