Research On Evaluation Of Radar Jamming Effect In Electronic Countermeasure Environment

The research of electronic countermeasure technology has never stopped.The research of radar technology has shifted from how to improve the search range,search speed,positioning accuracy and other indicators to the improvement of complexity.Especially in recent years,the research of artificial intelligence technology has advanced by leaps and bounds,which has promoted multifunctional radar technology.With the emergence of cognitive radar technology,both in terms of interference pattern and interference parameters,higher requirements are placed on the interferer.To judge whether the jamming can achieve good jamming effect against radar,it is necessary to evaluate the jamming effect.The evaluation of jamming effect has always been a hot research topic in the field of electronic countermeasures.Due to different evaluation methods for different modes and different interference patterns,it is difficult to find the same interference effect evaluation index.Therefore,the problem of the interference effect evaluation method for multi-functional radars needs to be solved urgently;when fighting against networked radars,interference is required The study of resource allocation is also an important research direction in the field of interference effect evaluation.First of all,this paper studies the common radar modes,typical active interference patterns,and common intelligent algorithms for interference resource allocation involved in this research,and studies the signal characteristics of common radar modes and the evaluation indicators for their common interference effects.For different radar modes,the interference effects obtained by different interference patterns are different.This article simulates the interference of typical active interference patterns to verify its good interference effects.Since intelligent algorithms are commonly used in the process of interference resource allocation to optimize,the two traditional intelligent algorithms commonly used in interference resource allocation-genetic algorithm and particle swarm algorithm are summarized to facilitate subsequent research.Secondly,research a one-to-one online jamming effect evaluation method against multifunctional radars.The overall evaluation process is based on the conversion of the radar working mode,and the interference effect evaluation model is established by combining the mode conversion variable,the working state quantity,and the anti-interference index.Since the transformation of the radar working mode takes the core position in this evaluation process,the support vector machine is selected to recognize the radar working mode,and the parameters of the Gaussian radial kernel function are optimized by the gray wolf algorithm to obtain a complete multi-functional radar.The online interference effect evaluation process and simulation have verified its feasibility.Finally,in the research scenario where multiple jammers fly with the target and cover the penetration radar network,it is studied how to quickly find an optimal jamming resource allocation method to maximize the jamming effect.Among them,the positioning accuracy geometric factor is selected as the objective function of the interference effect evaluation,and the limited time utilization rate of a single jammer is used as the constraint condition.Simulation and comparison of commonly used interference resource allocation intelligent algorithms-genetic algorithm,particle swarm algorithm,gray wolf algorithm,found that the sparrow search algorithm has a better optimization effect,simpler algorithm process,and faster in solving this type of interference resource allocation problem The convergence rate.