基于Hankel矩阵改进TLS-ESPRIT算法的散射中心参数提取及RCS重构

基于几何绕射理论(geometrical theory of diffraction, GTD)的散射中心信号模型可以精确描述隐身目标电磁散射特性,将总体最小二乘-旋转矢量不变技术(total least squares-estimating signal parameter via rotational invariance techniques, TLS-ESPRIT)算法引入此模型中,为散射中心提取提供了超分辨率算法。针对TLS-ESPRIT算法在低信噪比条件下估计精度不高的问题,引入Hankel矩阵改进TLS-ESPRIT算法对回波数据处理的过程,改进后的算法提高了在低信噪比情况下对散射中心参数估计的精度,具有更好的噪声鲁棒性。在对目标的识别以及雷达散射截面(radar cross section, RCS)重构方面具有重要意义。

Extraction of scattering center parameter and RCS reconstruction based on the improved TLS-ESPRIT algorithm of Hankel matrix

The scattering center signal model based on geometric diffraction theory (GTD) can accurately describe the electromagnetic scattering characteristics of stealth targets, and the total least squares-estimating signal parameter via rotational invariance technique (TLS-ESPRIT) algorithm is introduced into this model, providing a super-resolution algorithm for the extraction of scattering center. For the problem that the estimation precision of TLS-ESPRIT algorithm under the condition of low signal to noise ratio (SNR) is not high question, introducing the Hankel matrix to improve the TLS-ESPRIT algorithm for echo data processing, the improved algorithm improves the estimation accuracy of scattering center parameters at low SNR, has better noise robustness. It is of great significance in target recognition and radar cross section (RCS) reconstruction.