Research On Adaptive Detection And Recognition Method For Active Suppression Jamming Of Radar

In modern warfare,the status of electronic countermeasures and electronic counter countermeasures is becoming more and more important,and the active suppression jamming is an important part of it.The active suppression jamming is mainly through the high power noise signal to achieve the shielding effect of the radar received signal,so that the radar can't work normally,and that makes our army at a disadvantage in military strategy.Therefore,it is necessary to suppress radar active suppression jamming.The premise of effective suppression of jamming is to know when the radar is disturbed and what type of the jamming is.Active suppression jamming detection and recognition technology has important research value as the premise and foundation part of radar active suppression jamming suppression technology.Experts and scholars both at home and abroad have studied this technology,and they have achieved some results in this area,but there are some problems in these results.This thesis mainly focuses on radar active jamming detection technology and recognition technology.The main researches of this thesis are as follows.(1)The generation mechanism and mathematical model of various active suppression jamming are studied,and the characteristic parameters are extracted from the time domain,frequency domain,and transform domain and so on.The difference between different kinds of active suppression jamming on these characteristic parameters is analyzed.These studies have laid the foundation for subsequent research.(2)The detection algorithm of active suppression jamming of radar is studied from the angle of energy,polarization angle and feature extraction angle respectively.By analyzing and studying the differences of the received signals in these aspects when the jamming exists and does not exist,the jamming detection algorithm is designed.The detection probability of active suppression jamming under different JSR is given through simulation experiments.Finally,the adaptive selection of the jamming detection method is realized by using the Radial Basis Function Neural Network.(3)From the perspective of channelization,the difference between various active suppression jamming after channelization is studied.On this basis,the algorithm is designed to realize the recognition of active suppression jamming of radar.Through the simulation experiment,the recognition probability of various active suppression jamming under different JSR are given.(4)On the basis of the extracted jamming features,the statistical decision tree and Back Propagation neural network are used as classifier to design the active suppression jamming recognition algorithm.Finally,the recognition probability of different kinds of active suppression jamming under each JSR is given through the simulation experiment.At the same time,the differences between the two kinds of jamming classifiers is analyzed and compared,such as statistical decision tree and Back Propagation neural network.