Research On Radar Active Jamming Pattern And Strategy Based On Non-uniform Intermittent Sampling

With the continuous progress of science and technology,electronic warfare plays a more and more important role in modern war.Now,as long as the enemy’s radar detection system is destroyed,the whole war can be won.Electronic warfare is divided into radar reconnaissance,radar jamming,electronic destruction and other parts.Radar jamming can make enemy radar lose the ability of target detection,so it can’t detect our fighters,missiles and other strategic weapons,so the importance of radar jamming is particularly important.Radar jamming is also divided into several parts,including the generation and selection of jamming mode,the selection of jamming strategy,etc.It is very important to choose the right jamming style and tactics in the actual situation,which often determines the trend of the whole war.In this paper,the interference pattern and interference strategy selection are studied in detail,and a new interference pattern is proposed and implemented in hardware,and the gray wolf optimization algorithm is applied to the interference resource allocation problem.First of all,this paper introduces some basic principles of radar jamming,including the most widely used technology in radar jamming: digital radio frequency storage technology,then introduces three commonly used radar active jamming modes: smart noise jamming,frequency shift superposition jamming and linear frequency shift jamming,and analyzes their jamming effects by simulation;finally,two intelligent optimization algorithms,genetic algorithm and particle swarm optimization,are introduced.Secondly,a new interference pattern based on non-uniform intermittent sampling is proposed.There are two types of jamming: suppression jamming and deception jamming.Then it introduces the principle and process of the two kinds of interference patterns in detail,and analyzes their interference effects by simulation,and compares them with the traditional interference patterns to verify the possibility of this new interference pattern in engineering application.Next,the gray wolf algorithm and its improved algorithm are introduced into the problem of jamming resource allocation.Firstly,the jamming resource allocation model is established with jammer,radar and jamming style as elements,and the objective function and the constraint conditions of jamming resource allocation are established,then it introduces the origin and operation process of Gray Wolf algorithm,and improves it.Finally,the application of Gray Wolf algorithm and its improved algorithm in interference resource allocation is simulated and analyzed,and compared with genetic algorithm and particle swarm optimization algorithm,the feasibility of Gray Wolf algorithm in interference resource allocation and the performance improvement of the improved gray wolf algorithm compared with the original algorithm are verified.Finally,the new interference pattern based on non-uniform intermittent sampling is implemented in hardware and its interference effect is verified.