FEATURE EXTRACTION AND RECOGNITION FOR ECHOES OF HRR RADAR

作     者：Xie Deguang Zhang Xianda 

作者机构：Department of Automation Tsinghua University Beijing 100084 China 

出 版 物：《Journal of Electronics(China)》 (电子科学学刊（英文版）)

年 卷 期：2009年第26卷第6期

页      面：788-793页

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 08[工学] 070601[理学-气象学] 080203[工学-机械设计及理论] 0706[理学-大气科学] 0802[工学-机械工程] 

基　　金：Supported by the Basic Research Foundation of Tsinghua National Laboratory for Information Science and Technology (TNList) the Major Program of the National Natural Science Foundation of Foundation of China (No. 60496311) 

主　　题：Radar target recognition Feature extraction AutoregRessive (AR) model Densityfunction estimation Stochastic Information Gradient (SIG) 

摘      要：This paper describes a novel target recognition scheme using High Range Resolution (HRR) radar signatures. AutoRegressive (AR) method is used to extract features from HRR radar echoes based on scattering center model of target. The optimal linear transformation based on Euclidian distribution distance criterion is performed on AR model parameter vectors to reduce dimension of feature vectors further and improve the class discrimination capability of feature vectors. The optimization algorithm is designed utilizing the quadratic property of criterion function and Gaussian kernel based Parzen window density function estimator. The concept of Stochastic Information Gradient (SIG) is incorporated into the gradient of cost function to decrease the computational complexity of the algorithm. Simulation results using three real airplanes,data show the effectiveness of the proposed method.