Research On Decision Algorithm For Cooperative Interference Against Radar Net

Electronic countermeasure has become an important part of modern military confrontation.Under the trend of networking of combat units,radar networking technology improves the overall working performance and anti-jamming capability of the system,which reduces the effectiveness of traditional single-resource countermeasures.Under the trend of antinetworking,the cooperative jamming of multiple jammers using collaborative technology is an important jamming method for networked radars.How to effectively allocate the interference resources of multiple jammers working together to make interference decisions and improve the interference efficiency is the key research content.Regarding centralized single-object centralized interference decision making,this paper aims at the existing problems that the performance of heuristic method relies on parameters adjustment and the insufficient utilization of the problem constraints.A decision method based on artificial bee colony algorithm is proposed.The proposed algorithm obtains the decisionmaking optimization objective function based on the multi-criteria comprehensive interference effect evaluation,performs integer coding on the interference decision matrix,modifies the artificial bee colony algorithm solution update function,and introduces a directional search strategy to speed up the algorithm convergence speed.The simulation results show that the proposed algorithm has a certain improvement in convergence accuracy and convergence speed.Regarding centralized multi-objective interference decision-making,this paper aims at the problem that the dominance-based multi-objective optimization algorithm has poor optimization effectiveness on the collaborative interference decision-making problem,a decision-making algorithm that hybrid dominance and decomposition is proposed.Based on the interference effectiveness evaluation,the interference benefit objective function is given,and the interference cost function is given according to the increase in the probability of detection caused by the interference of each jammer.The proposed algorithm uses a problem decomposition-based optimization method in the process of each iterative solution update,while in the external solution set update process,it uses a dominant sort to obtain the noninferior optimal solution set under the current iteration.The simulation results show that the proposed algorithm has a certain improvement in the convergence,diversity and distribution of the solution set.Regarding distributed single-object interference decision-making,this paper aims at the problem of sensitivity to the formation communication topology in the current distributed interference decision-making algorithm based on the market auction mechanism,a distributed decision-making algorithm-based consensus-based bundle algorithm is proposed.On the basis of the consensus-based bundle algorithm,a bidding weight mechanism is introduced to solve the deadlock problem in the algorithm convergence process,so that the algorithm satisfies the problem constraints and is more effective at the expense of a certain amount of communication.Optimal interference decision-making program.The simulation results show that the decisionmaking performance of the proposed algorithm is not limited by the formation communication topology and compared with the interference decision-making method based on the contractnet and the basic consensus-based bundle algorithm,the optimization performance has a certain improvement.