Research On Intelligent Generation Method Of Radar Range Gate Pull Off Jamming Strategy

Range gate pull off jamming is widely used in modern warfare because of its high jamming power utilization,significant jamming effect,and the ability to switch the radar back and forth between the tracking state and the search state,making it difficult to lock the target.With the emergence of new system radars such as cognitive radars,radar antijamming performance has been improved,which has greatly weakened radar jamming technology.In order to improve the performance of range gate pull off jamming and gain the initiative of future air combat,it is of great significance to research radar range gate pull off jamming technology.Based on the analysis of the mechanism of range gate pull off jamming,this paper focuses on the research on the intelligent generation method of range gate pull off jamming strategy.The specific work is as follows:1.Aiming at the problem that it is difficult to take into account multiple indicators at the same time in an emergency situation,a single performance indicator range gate pull off jamming strategy generation model is constructed,and an intelligent strategy generation method based on an improved particle swarm algorithm is proposed.Simulation results show that under the same parameter conditions,compared with uniform speed and uniform acceleration pull off,the algorithm can significantly increase the average gate offset distance of pulling off.2.In response to the need to improve the overall combat effectiveness of the system in a complex battlefield situation,a multi-performance index range gate pull off jamming strategy generation model is constructed,and a strategy intelligent generation method based on the evaluation function method is proposed.The range gate pull off jamming strategy generated by this algorithm is superior to the traditional uniform speed and uniform acceleration pull off methods in the average gate offset distance and the pull off success rate.3.To solve the problem that the weight coefficient of the evaluation function method is difficult to make decisions,an intelligent generation method of range gate pull off jamming strategies based on multi-objective particle swarm optimization is proposed.Simulation results show that the AG-MOPSO algorithm can make a good trade-off between the average gate offset distance and the pull off success rate,and generate multiple sets of solutions for different situations for users to choose according to the actual combat situation.4.For the problem of poor efficiency of range gate pull off jamming strategy during detection and jamming countermeasures,a generation model of the range gate jamming strategy in the confrontation environment is constructed,and An intelligent strategy generation method based on particle swarm algorithm in a confrontation environment is proposed.Countermeasures based on exploration can accelerate the evolution of the range gate pull off jamming strategy,thereby helping to grasp the initiative in modern warfare.The above algorithms have been validated by simulation experiments.