Independent source extraction applied to radar imaging.

机译：独立的源提取应用于雷达成像。

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Multiple scattering and random interactions among scattering elements and between the scatterers and the background adversely affect the radar image quality and target detection capability. In radar images formed using physical optics (PO) based techniques, multiple scattering and interactions appear as non-physical scattering centers. A method to enhance the performance of PO based radar imaging systems by extracting independent scattering centers is investigated in this thesis. Independent Component Analysis (ICA) is applied to returns of a radar system to extract independent scattering elements based on their non-Gaussianity. As an example, this method of target extraction is implemented in inverse synthetic aperture radar (ISAR) imaging of a variety of targets. Results of this study show that the application of this radar signal processing technique has allowed extraction of independent components which are related to scattering elements within the target.

机译：散射元素之间以及散射体与背景之间的多重散射和随机相互作用会对雷达图像质量和目标检测能力产生不利影响。在使用基于物理光学（PO）的技术形成的雷达图像中，多次散射和相互作用表现为非物理散射中心。本文研究了一种通过提取独立的散射中心来增强基于PO的雷达成像系统性能的方法。独立分量分析（ICA）用于雷达系统的回波，以基于其非高斯性提取独立的散射元素。例如，这种目标提取方法是在各种目标的逆合成孔径雷达（ISAR）成像中实现的。这项研究的结果表明，这种雷达信号处理技术的应用允许提取与目标内散射元素相关的独立成分。

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作者
Hall, Jeffrey Brandon.;
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作者单位

The University of Texas at Arlington.;

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授予单位 The University of Texas at Arlington.;
学科 Engineering Electronics and Electrical.
学位 M.S.
年度 2009
页码 93 p.
总页数 93
原文格式 PDF
正文语种 eng
中图分类无线电电子学、电信技术;
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入库时间 2022-08-17 11:38:27

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Independent source extraction applied to radar imaging.

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