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《Journal of Data Acquisition and Processing》 2011-05
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Support Vector Machine Radar Target Recognition Method Based on Scattering Centers

Wang Jing,Zhou Jianjiang(1.Science and Technology on Information System Engineering Laboratory,the 28th Research Institute of ChinaElectronics Technology Group Corporation,Nanjing,210007,China;2.College of Electronic Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing,210016,China)  
To reduce the computational complexity and template storage,the scattering centers on the target are utilized in the radar target recognition as the features,and the support vector machine(SVM) is used to identify radar targets.Firstly,the scattering centers are extracted from the MUSIC based on propagator method.Secondly,the scale and translational-invariant features are obtained by the central moments from the scattering centers,and the support vector machine(SVM) is utilized to classify the targets.Finally,SVM and adaptive Gaussian classifier(AGC) are compared in recognizing five kinds of fighter planes by 1-D scattering center features.Simulations show that the SVM recognition method based on scattering centers can improve the recognition performance effectively.
【CateGory Index】: TN957.51
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【Citations】
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