基于滑动散射条件的弹道目标微动特征和结构特征提取

Micro-motion Feature and Structure Feature Extraction of Ballistic Target Based on Sliding Scattering Conditions

雷达目标的微动特征为目标精确识别提出了新的技术途径。针对宽带雷达体制下弹道目标回波,利用采样得到的强散射中心径向距离线性和信号,估计微动周期和回波初相,接着对图像进行两参数扩展Hough变换,提取出旋转散射中心的微动参数,最后利用分离后的滑动散射中心的径向距离线性差信号和线性和信号,通过最小二乘拟合以及多元非线性方程组求解,提取了目标微动特征和结构特征。仿真实验验证了方法的有效性。

The micro-motion features of radar targets put forward a new technology method for accurate identification of targets. Firstly using the linear sum of the radial distance of the strong scattering centers,got by taking sample from the echo signal in the wideband radar,the cycle of the micro-motion and the initial phase of the echo signal. Thenthe two-parameters-extended-Hough-transform to the image,the parameters of the rotating scattering center and the sampling signal of the rotating and sliding scattering center. Lastly,using the linear sum and difference of the radial distance of the separated sliding scattering centers and adopting the least square fitting and solving the multivariate nonlinear equation system,the target＇s micro-motion features and structure features. Simulation results validate effectiveness of the proposed algorithm.