Simulation And Identification Of Jamming In Complex Electromagnetic Environment

In the modern war,electronic warfare,as a new type of warfare,has attracted more and more attention.Radar electronic warfare is an important part of electronic warfare.Destroying radar working system has become the main target of electronic warfare.In order to ensure that the radar is in an effective working state,it is necessary to classify and identify the jamming with high accuracy and then suppress the jamming.However,in the current complex electromagnetic environment,there is no more in-depth study on the classification and recognition of multiple types of electronic interference.Based on this background,this paper models and simulates the main types of interference faced by radar,extracts the characteristics of multi-dimensional domain,and uses the methods of classification tree,SVM and convolutional neural network to do the experiment of classification and recognition of electronic interference.The main research contents are as follows: Is:1?In this paper,the electronic interference is modeled,and the appropriate simulation method is selected through the mathematical model.The main types of suppression jamming include: noise am aiming jamming,noise FM blocking jamming and noise FM sweep jamming.The suppression jamming mainly suppresses the radar signal receiver by using large amplitude in time and frequency domain to interfere with the normal operation of radar.The deception jamming mainly includes distance deception jamming and dense false target jamming,and deception jamming mainly uses dry jamming The radar signal intercepted by the jammer is received by the radar receiver after it is transmitted.Because it is similar to the reflected signal of the target,the radar cannot distinguis h the real target echo effectively,so as to achieve the effect of deception.The new jamming mainly includes: intermittent sampling and transmitting jamming and smart noise jamming.The radar signal is quickly sampled and transmitted by using the RF memor y,so as to achieve the double purpose of deception and suppression effect.Accurate modeling and simulation method is the premise of research on feature extraction and classification recognition.It is necessary to verify the interference data fro m modeling and simulation according to the characteristics of signals to provide accurate data for subsequent research.2?By processing the signals received by the receiver in each dimension domain,multi domain features are extracted.In this paper,three domain features of time domain,frequency domain and time-frequency domain are extracted.The time-domain features mainly include skewness,kurtosis and envelope fluctuation;the frequency-domain features mainly include normalized instantaneous amplitude frequency maximum value,intra pulse correlation coefficient and frequency smoothness;the time-frequency-domain features are mainly two Dimension Renyi entropy.Using the features extracted from each domain can effectively reflect the differences between all kinds of interference signals,and provide the basis for accurate classification and recognition.3?The database software of jamming signal simulation and feature extractio n system is set up to realize visual interactive interface,which can directly modify radar signal parameters,jamming signal parameters,extract required features and conduct range domain processing.4 ? By comparing the multi-domain features of all kinds of interference,extracting the features of interference through feature extraction algor ithm,and using classification tree,support vector machine and convolution neural network to do recognition research,the simulation results show that the three methods have high recognition rate,and the recognition rate of interference is not directly r elated to the interference ratio.In order to improve the recognition rate of active jamming in the complex electromagnetic environment and help the radar to suppress the jamming.