Parameter estimation of GTD model and RCS extrapolation based on a modified 3D-ESPRIT algorithm  

作　　者：ZHENG Shuyu ZHANG Xiaokuan ZHAO Weichen ZHOU Jianxiong ZONG Binfeng XU Jiahua 

机构地区：[1]Air and Missile Defense College,Air Force Engineering University,Xi’an 710051,China [2]College of Economics,Jilin University of Finance and Economics,Changchun 130022,China [3]School of Electronics Science and Engineering,National University of Defense Technology,Changsha 410073,China

出　　处：《Journal of Systems Engineering and Electronics》2020年第6期1206-1215,共10页系统工程与电子技术（英文版）

基　　金：This work was supported by the National Natural Science Foundation of China(61372033).

摘　　要：The noise robustness and parameter estimation performance of the classical three-dimensional estimating signal parameter via rotational invariance techniques(3D-ESPRIT)algorithm are poor when the parameters of the geometric theory of the diffraction(GTD)model are estimated at low signal-to-noise ratio(SNR).To solve this problem,a modified 3D-ESPRIT algorithm is proposed.The modified algorithm improves the parameter estimation accuracy by proposing a novel spatial smoothing technique.Firstly,we make cross-correlation of the auto-correlation matrices;then by averaging the cross-correlation matrices of the forward and backward spatial smoothing,we can obtain a novel equivalent spatial smoothing matrix.The formula of the modified algorithm is derived and the performance of this improved method is also analyzed.Then we compare root-meansquare-errors(RMSEs)of different parameters and the locating accuracy obtained by different algorithms.Furthermore,radar cross section(RCS)of radar targets is extrapolated.Simulation results verify the effectiveness and superiority of the modified 3DESPRIT algorithm.

关 键 词：parameter estimation novel spatial smoothing scattering center geometric theory of diffraction(GTD)model radar cross section(RCS)extrapolation 

分 类 号：TN957.51[电子电信—信号与信息处理]