多视角距离像序列弹道目标的进动参数估计

进动参数是中段目标识别的重要特征来源，该文以锥形弹头为研究对象，分析了进动参数、目标结构参数对一维距离像上目标长度的影响，建立了高分辨雷达多视角观测模型。在此基础上，提出了一种基于多视角时间-距离像对进动特征及结构特征进行联合估计的算法，并对其CRB进行了推导。该算法利用多部高分辨雷达所观测的目标投影长度变化信息实现了无先验信息下进动参数与目标结构参数的高精度估计。仿真结果验证了所提算法的有效性。 

Precession Parameter Estimation for Ballistic Targets Based on Multi-aspect Range-Profile Sequence

Precession features are important feature source for target recognition in mid-course. Aimed to the problem of precession feature extraction for conical warhead, this paper analyzes the relationship among High Range Resolution Profile (HRRP) length, precession parameters and target’s structure parameters. Also, the observation model for multi-aspect high resolution radar is introduced. Based on this, an algorithm which utilizes the high range resolution profile (HRRP) sequences to estimate the precession feature and the structure feature jointly is proposed. And the Cramer-Rao bound (CRB) of the proposed algorithm is also deduced. The proposed algorithm can obtained the estimation of precession parameter without any prior information. Simulation results show that the presented method is effective and the deduced CRB is correct.