基于多视角一维距离像序列的进动目标特征提取

该文研究了利用多视角观测1维距离像序列联合提取弹道目标进动角和真实长度的方法。以锥形弹头为例，详细分析了目标进动条件下1维距离像长度随视角的变化规律，指出该规律通常情况下可近似为正弦曲线；基于此建立了多视角雷达目标观测模型，提出了基于多视角1维距离像序列目标进动角和真实长度的联合提取新方法，并分析了雷达布站对特征提取精度的影响。最后通过计算机仿真证明了算法的有效性和适应性。

Feature Extraction of Precession Targets Using Multi-aspect Observed HRRP Sequences

A novel algorithm for feature extraction of the precession angle and real length of the ballistic target using multi-aspect observed High Range Resolution Profile (HRRP) sequences is proposed. Taking the cone-shaped ballistic target into consideration, this paper analyzes the HRRP length when the target is precessing and indicates that the sequence of HRRP lengths can be approximate to a sinusoid function. Then, the model of multi-aspect observation is introduced and a novel algorithm, which is based on the multi-aspect observed HRRP sequences, is proposed to estimate the precession angle and real target length jointly. Afterwards, the effect of the radars distribution on the estimated errors is discussed. Finally, the simulation results are given for validating the proposed algorithms.