| Introducing the polarization features into classification and recognition is an important direction in the field of radar target recognition in recent years,Studying the polarization scattering characteristics of ballistic targets and the identification of true and false warheads based on polarization characteristics are of great significance for improving the missile defense system.In this paper,the polarization scattering characteristics analysis and polarization feature extraction of the targets are studied,and the feasibility of applying it to the identification of true and false warheads is explored.Firstly,based on the narrowband and wideband echo of radar target,the polarization characteristics,polarization feature extraction and feature separability of the ballistic targets are analyzed,and then the SVM model is constructed to classify the ballistic targets.Under the narrow-band polarization radar system,the extraction of polarization invariants based on narrow-band polarization scattering matrix and its application in target classification and recognition are studied.Firstly,the polarization scattering matrix is obtained according to the narrow-band echo of the radar target,Then,five parameters with rotation invariance are extracted from the polarization scattering matrix,and their target scattering characteristics are analyzed.Finally,combined with four different sets of ballistic target model simulation data,the feasibility of using narrow-band polarization features for ballistic target recognition is analyzed.Under the broadband polarization radar system,the feature extraction algorithm based on wideband full polarization HRRP and its application in target classification and recognition are studied.Firstly,a wide-band full-polarization High Range Resolution Profile is constructed.Then the coherent target decomposition algorithm and the partially coherent target decomposition algorithm are used to decompose and extract the wideband fully polarized HRRP,Scattering characteristics of different scattering centers represented by each feature are analyzed,the separability of the target with different features is analyzed.Finally,the classification identification model is established,Combining the simulation data of four different ballistic target models,the feasibility of using wideband full-polarization HRRP for ballistic target recognition is analyzed.At the same time,the results of target classification and recognition under different SNRs are also studied,and then the influence of signal-to-noise ratio on the ballistic target recognition of polarization information is analyzed.The simulation results show that the narrow-band polarization feature can identify the debris model from the warhead and the bait effectively.However,the narrow-band polarization characteristics between the warhead and the bait model are weakly separable,and the result of target recognition using narrow-band polarization is not robust.The broadband polarization characteristics between the light and heavy decoys and the warhead model are highly separable.Under large signal-to-noise ratio,the results of target recognition using broadband polarization are more accurate.The simulation results show that when the signal-to-noise ratio is larger than 20dB,the recognition rate of the warhead using the broadband polarization feature is above 85%. |