【作者】 敖俊源； 阙肖峰； 丁鹏程； 宋新宇；

【Author】 Junyuan Ao;Xiaofeng Que;Pengcheng Ding;Xinyu Song;University of Electronic Science and technology of China;

【机构】 电子科技大学；

【摘要】 本文采用TLS-ESPRIT算法结合GTD模型散射中心提取进行RCS重构。当GTD模型公式经过近似处理后,运用TLS-ESPRIT算法对散射中心位置、散射中心类型以及散射中心散射强度进行估计,利用该算法估计得到的信息进行RCS重构,将得到的重构的目标RCS数据与仿真结果的RCS进行对比,发现入射波频率为1.5GHz～3 GHz和0.5 GHz～1.5 GHz时,平均绝对误差分别为0.84 dB和1.16 dB,验证了提出方法的准确性,该方法对研究低频段下的目标识别、RCS重构以及外推具有重要的意义。更多还原

【Abstract】 A Total Minimum Norm Estimation of Signal Parameters via Rotational Invariance Techniques(TLSESPRIT) algorithm combined with GTD model scattering center extraction is used for RCS reconstruction in this paper.After approximate processing of GTD model formula,TLS-ESPRIT algorithm is used to estimate the scattering center position,scattering center type and scattering intensity of the scattering center.The RCS of the reconstructed target is reconstructed by using the information estimated by the algorithm.Compared with the RCS of the simulation results,it is found that the average absolute error is 0.84 dB and 1.16 dB when the incident wave frequency is 1.5 GHz～3 GHz and 0.5 GHz～1.5 GHz,respectively,which verifies the accuracy of the proposed method.This method is of great significance for studying target recognition,RCS reconstruction,and extrapolation in the low-frequency range.更多还原