Micro-motion feature is one of the effective features used for radar target recognition in the middle section of the ballistic curve. The micro-Doppler expressions of the scattering center at the conical point and two sliding scattering centers in the conical bottom are derived, firstly. The micro-Doppler of the scattering center at the conical point calculated by its micro-Doppler expression is little different to that which is getting by the Geometrical Theory of Diffraction (GTD). The other two scattering center's micro-Doppler achieved by the two methods coincide with each other. Three correlations of the micro-Doppler of the three scattering centers are founded by analyzing their micro-Doppler expressions. Then a method of precession and structural parameter estimation is proposed by using the magnitudes of the micro-Doppler at some times, which can obtain from the time-frequency analysis. Using the method to extract six precession and structural parameters in different angles of incidence is analyzed, and the simulated results validate the effectiveness of the proposed method.%微动特征是弹道中段目标雷达识别的有效特征之一.该文首先推导了圆锥弹头的锥顶散射中心和锥底平面上两个滑动散射中心的微多普勒表达式,与由几何绕射理论得到微多普勒时频曲线进行对比,发现锥顶散射中心的微多普勒时频曲线有细小差异,其他两个散射中心的很吻合.通过分析这3个表达式发现3个散射中心的微多普勒具有3种相关性.针对这3种相关性论文提出了在不同入射角下提取微多普勒时频曲线的离散点进行进动和结构参数估计的方法,并进行了仿真实验提取了进动和结构6个参数,且估计效果较好.
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