雷达极化混合目标状态分解技术研究

W. Holm, R. Barnes
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引用次数: 113

摘要

讨论了用穆勒矩阵、协方差矩阵和密度矩阵表示混合目标状态的数学表达式,并给出了这些矩阵之间的关系。本文考虑了J.R. Huynen(1970)提出的一种分解技术,并演示了一种简单的计算算法。结果表明,除了Huynen分解外,还存在另外两种分解,其混合目标状态分量与Huynen分解中的分布式n目标混合目标状态分量具有相同的滚动不变性质。这三种huynen型分解的混合目标态分量都对应于具有圆偏振零的目标。然后讨论了特征分解,并将其应用于一个简单的例子,证明了其纯状态分量提供了平均目标表示。值得注意的是,这种分解可以应用于固定目标的识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On radar polarization mixed target state decomposition techniques
The mathematical representations of mixed target states using Mueller, covariance, and density matrices are discussed, and the relationship between these matrices is shown. A decomposition technique due to J.R. Huynen (1970) is considered, and a simple algorithm for calculating it is demonstrated. It was shown that, in addition to the Huynen decomposition, exactly two other decompositions exist whose mixed-target-state components possess the same roll-invariant property as the distributed N-target mixed-target-state component in the Huynen decomposition. The mixed-target-state components of all three of these Huynen-type decompositions were shown to correspond to targets with circular polarization nulls. The characteristic decomposition was then discussed and applied to a simple example which demonstrated that its pure-state component provides the average target representation. It is noted that this decomposition may have applications to stationary target identification.<>
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