Feature extraction of wobbling rotational symmetry targets

Xiaofeng Ai, Yongzhen Li, D. Feng, F. Zhao, S. Xiao
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引用次数: 2

Abstract

Feature extraction and recognition of wobbling targets are very important in spatial target surveillance. It has been shown that the scattering centers are slipping on the edge of the rotational symmetry target with the target micro-motion according to the electromagnetic scattering theory and electromagnetic computation analysis. Based on the slippery scattering center model, the micro-motion model and high-range resolution profile (HRRP) model of a wobbling rotational symmetry cone-shaped target are introduced, and the observed HRRP sequence is used to construct a time-range distribution matrix, then a estimation method of the wobbling period is proposed based on time-range distribution matrix correlation, which is validated by electromagnetic computation data and dynamic simulation.
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摆动旋转对称目标的特征提取
在空间目标监视中,摆动目标的特征提取和识别是非常重要的。根据电磁散射理论和电磁计算分析表明,随着目标的微运动,旋转对称目标边缘的散射中心发生滑动。在光滑散射中心模型的基础上,引入了旋转对称圆锥目标的微运动模型和高分辨像模型,利用观测到的高分辨像序列构建时程分布矩阵,提出了基于时程分布矩阵相关的摆动周期估计方法,并通过电磁计算数据和动态仿真验证了该方法的有效性。
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