Research On Recognition Method Of Specific Radar Emitter Based On Decomposition And Reconstruction Information

As the vanguard of modern warfare,electronic warfare is often able to influence the direction of the war.Through reconnaissance,the enemy’s radar information can be obtained,and then targeted attacks can be carried out.This prevents the enemy from effectively obtaining our military deployment and military intentions and fully wins the initiative on the battlefield.and the individual recognition technology of radar emitters was developed in this context.With the renewal of electronic component materials and the improvement of production technology,the differences between individual radar radiators are getting smaller and smaller,so the research on the individual identification technology of radar radiators still needs to be in-depth and perfect.This paper takes the transmitted signal of the simulated main vibration amplification radar machine as the research object,analyzes the signal decomposition and reconstruction angle,and extracts the features to complete the individual recognition of the radar radiator.The specific research content is as follows:Firstly,analyzed given the main vibration amplification type radar transmitter is the mechanism of production of radar signal simulation and analyses each module of the transmitter on the emission waveforms,and the influence of each module in the transmitter on the transmission waveform is simulated and analyzed.Combined with the S-parameters of the actual chip given by the manufacturer,the main vibration radar transmission is completed.The system modeling of the radar generates three radar radiation source signals through the replacement of the secondary power amplifier.Secondly,from the perspective of signal decomposition,the variational modal decomposition algorithm with stable decomposition results,simple calculation,and no modal aliasing in the signal decomposition algorithm was selected.For the decomposition parameters in the variational modal decomposition algorithm,the decomposition parameters need to be set manually and cause errors.The problem is that the sparrow search algorithm is selected to quickly and accurately optimize the decomposition parameters.After the variational modal decomposition of the radiation source signal is completed,the features are extracted from the angle of entropy and relevance respectively as feature vectors.Light GBM is used on the classifier for the identification of radar emitters.Finally,from the perspective of signal reconstruction,through the analysis of chaos theory,it is found that there is a nonlinear similarity between the radar emitter system and the chaotic system,and the radar emitter signal can be reconstructed to a higher dimension through phase space reconstruction,to obtain the characteristics that cannot be expressed by the onedimensional time-series signal.In feature extraction after phase space reconstruction,chaotic feature quantity and singular value are combined to extract the maximum Lyapunov index,Kolmogorov entropy,correlation dimension,and singular value as feature vectors.Finally,individual identification of radar radiation sources is completed by Light GBM.