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首页> 外文期刊>International Journal of Microwave and Wireless Technologies >Recognition of jet engines via sparse decomposition of ISAR images using a waveguide scattering model
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Recognition of jet engines via sparse decomposition of ISAR images using a waveguide scattering model

机译：使用波导散射模型通过ISAR图像的稀疏分解识别喷气发动机

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摘要

Air target recognition is a critical step in the radar processing chain and reliable features are necessary to make a decision. The number and position of jet engines are useful features to perform a pre-classification and give a list of possible targets. To extract these features, a sparse decomposition framework for inverse synthetic aperture radar (ISAR) images is presented. With this framework different components of the target can be detected, if signal models for these parts are available. To use it for the detection of jet engines, a review of a signal model for air intakes, which was developed by Borden, is given. This model is based on the common assumption that the propagation of electromagnetic waves inside jet engines has the same dispersive behavior as inside waveguides. With this model a decomposition of a real ISAR image, measured with the tracking and imaging radar system of Fraunhofer FHR, into point-like scattering centers and jet engines is presented.
机译：空中目标识别是雷达处理链中的关键步骤，可靠的功能是做出决策所必需的。喷气发动机的数量和位置是进行预分类并列出可能目标的有用功能。为了提取这些特征，提出了一种用于逆合成孔径雷达（ISAR）图像的稀疏分解框架。如果有这些部分的信号模型，则可以使用该框架检测目标的不同组件。为了将其用于喷气发动机的检测，对由Borden开发的进气信号模型进行了回顾。该模型基于共同的假设，即喷气发动机内部电磁波的传播与波导内部具有相同的色散行为。使用该模型，可以将用Fraunhofer FHR的跟踪和成像雷达系统测量的真实ISAR图像分解为点状散射中心和喷气发动机。

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