Research On Phased Array Radar And Its Network ECCM Against Active False Target And Phantom Track Jamming

Phased array radars(PAR)are threatened by the active multiple false target(AMFT)for target detection,tracking and recognition.In addition,the phantom track(PT)generated by the collaborative control of the ECM aircrafts further affects the evaluation on the current situation.These bring a chanllange to the conventional system-based anti-jamming techniques.The improvement of the target detection capability of the PARs and their networks in the main-lobe deceptive jammings is becoming urgent on modern ages.This thesis mainly studies the anti-jamming methods against AMFT and PT from signal-processing and information-processing point of view.The main works of this thesis are listed as follows:1)The generation and the action mechanisms of the AMFT s and the PT are analyzed.The weakness of the radar systems is analyzed,and the generalized jamming function is proposed.The research provides the foundations for the following researches on antijamming methods.2)The anti-jamming methods against AMFTs are proposed,from the signal-processing point of view.A high-precision jamming parameter estimation method based on ZAM domain is proposed against ISRJ.Aftwards,an adaptive filter under minimum variance distortionless response(MVDR)criterion is proposed,which suppresses the jamming component with frequency notch while preserveing the target echo component.Besides,an adaptive filtering method is proposed to achieve the target reconstruction embeded in the SMSP background.3)The false target identification algorithm against PT are proposed,from the signalprocessing point of view.The nonlinear distortion introduced by the power amplifier of the jammer is analyzed.The distribution of the spurious frequency are derived by using the Volterra series.Based on the ABORT adaptive detection framework,the false target identification method is proposed with single scanning.4)An intra-frame information fusion based anti-AMFTs method is proposed,from the information-processing point of view.This thesis analyzes the joint sparse mode for different type of AMFTs.Afterwards,a phase-aid distributed compressed sensing(DCS)based algorithm is proposed to reconstruct the target echo component.A PT identification algorithm for PAR network is proposed by combining the information-processing and signal-processing methods.The multi-feature-multi-frame information fusion for PAR network based on Dempster combination rules are proposed,which can obviously improve the PT identification performance.5)A PT cancellation algorithm is proposed by combining system,signal-processing and information-processing based ECCM method.The signal characteristics of real target and deceptive jamming in frequency diversity array(FDA)are introduced.A track before detect method under the MVDR constraint is proposed.The kinematics constraint is introduced capable to cancel the discontinuous tracks generated by false targets.