SAR/GMTI Vehicle Target Micro-Doppler Signal Characteristics Analysis And Classified

The radar targets have small motions in addition to mass translations,which is called micro-motion.The additional frequency modulation generated by targets micro radar echo,known as micro-Doppler effects.The micro-Doppler effect is stable and unique.and it provide a new method to target identification and target classification.However,the most of existing research consider the platform is stable and ignoring its disturbance which may be interfered with the signal of the target micro motion.The intent of this dissertation is to investigate the aircraft disturbance interference issues on SAR/GMTI ground vehicle target micro-Doppler signer.A based on micro signal energy distribution is used to classify ground vehicle is presented.A based on determination condition of the extracted classification of a ground vehicle target of fusion recognition algorithm is proposed.The main works of the paper are as follows:1?We investigate the influence of aircraft disturbance on the ground vehicle's micro-motion.Firstly,we take a theoretical analysis of the rotating target of the micro-Doppler feature with aircraft disturbance with the computer simulation.Through experiments we take a research under different disturbance amplitude and angular frequency disturbance to watch the influence of carrier aircraft disturbance which would be influence the single scattering point target of rotation jog signal.Subsequently,the paper analyzes the carrier aircraft disturbance of the impact on the vehicle target micro-motion properties.2?A based on micro signal energy distribution is used to classify ground vehicle is presented.After remove the ground noise signal,we use the EMD algorithm to get the IMF components.Then select effective component of the IMF,and calculate the effective energy than between the IMF components.Through the analysis of energy statistical properties,extraction and classification recognition decision condition.3?Based on determination condition of the extracted classification,proposed a ground vehicle target of fusion recognition algorithm.Determination by providing a plurality of identification conditions.First,Through using a single identification and classification conditions for target identification judgment,then integrated plurality of determination results to get the final results of recognition and classification.