Study On The Adaptive Sensing Methods Of Radar Active Deception Jamming On High-Speed Carrier

As the name suggests,high-speed carrier radar,who works on the high-speed motive devices,is an indispensable part of modern battlefield.Thanks to the advancing of the digital radio frequency memory(DRFM),accurate replication of radar signal becomes possible.Jammers could produce flexible and diverse information interference,making the radar make wrong judgments on it.In order to ensure the high-speed carrier radar works well,it is urgently necessary to study on active deception jamming to it.Aiming to the sensing problem of high-speed carrier radar,this thesis firstly modeling the deception jamming on the basis of digital radio frequency memory based jammer.Then,by extracting characteristic parameters way,many feature differences between active deception interferences and real echo signal could be identified.Finally,the interference type is detected and identified.The main work is as follows:First,the study background and significance of this thesis is introduced.This thesis refines the research trends of radar active deception interference recognition and identification in recent years,and then analyzes the classifications of active deception interference that high-speed carrier radar faces,and clarifies the object of the thesis.Second,different classifications of active deception interference are introduced.And the modeling and simulation of those jamming is presented.Two kinds of radar launch signal types,linear frequency modulated signal and single carrier frequency signal,are identified.And software simulation of kinds of active deception jamming characters in time domain,frequency domain and others are shown which lay the foundation of following research.Third,the recognition method of active deception interferences is studied.Characteristic parameters in time domain,frequency domain and several plus repeating interval joint matrix dimensions are extracted.Fourth,detection and identification of high-speed carrier radar information interference based on the characteristic parameters extraction are studied.Several characteristic parameters of a signal are combined as a feature vector.On the basis of feature vectors,decision tree method,k-means clustering method and clustering by fast search and find of density peaks(CFSFDP)are used for active deception interference detection and identification.Finally,the algorithm based on goodness-of-fit detection is used for angle deception jamming recognition.