基于雷达目标极化HRRP特性的舰船目标识别方法

Zhongyuan Lu, Zhongxun Wang, B. Dan
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引用次数: 0

摘要

目前,宽带和偏振测量技术的进步,使得基于HRRP特性的目标识别技术有了长足的发展。本文重点研究了基于目标相干矩阵特征值和特征向量分析的cloud分解理论和基于Sinclair散射矩阵分解的Cameron分解理论提取目标舰船极化HRRP特征的方法。提取的特征具有明确的物理意义,可用于从不同角度对目标进行表征。通过分析它们的可分性值,选择可分性较高的特征来构建目标特征向量。通过对5个舰船目标的仿真验证了这些特征的可分割性和鲁棒性,并通过识别结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ship Target Identification Method based on the Characteristic of Target Polarimetric HRRP of Radars
At present, the progress in broadband and polarimetric measurement technology contributes to a significant advancement of the target identification technology based on HRRP characteristics. This paper focuses on the method used to extract the polarimetric HRRP characteristic of target ships according to the Cloude decomposition theory which is based on the eigenvalue and eigenvector analysis of target coherence matrixes and the Cameron decomposition theory based on the decomposition of Sinclair scattering matrixes. With a clear physical significance, the extracted characteristics can be applied to characterize the target from different angles. By analyzing the divisibility value of them, the characteristics with a high level of divisibility are selected to construct the vectors of the target characteristics. The divisibility and robustness of these characteristics are demonstrated through the simulation of five ship targets, while the effectiveness of the method is verified by the identification results.
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