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Development and Testing of a Low Cost Audio Based ISAR Imaging and Machine Learning System for Radar Education

机译:基于低成本音频的ISAR雷达教育成像和机器学习系统的开发和测试

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This paper describes the development and testing of low cost Inverse Synthetic Aperture Radar (ISAR) turn table system with a machine learning back-end. The ISAR sensor is based on audio components which mimic the functioning of a radar system but at a much lower cost. The system is also compact enough to fit on a single desk for classroom demonstrations and experiments. The system can record range lines as the turn table revolves and form ISAR images. These images can then be used to train machine learning algorithms to demonstrate the accuracy of such algorithms. The system thus allows for classroom demonstrations of the sensor to classifier chain in a way that is immediately accessible to students.
机译:本文介绍了带有机器学习后端的低成本逆合成孔径雷达(ISAR)转台系统的开发和测试。 ISAR传感器基于模仿雷达系统功能的音频组件,但成本要低得多。该系统还足够紧凑,可以放在一张桌子上,用于教室演示和实验。该系统可以在转台旋转时记录范围线并形成ISAR图像。然后,这些图像可用于训练机器学习算法,以证明此类算法的准确性。因此,该系统允许以学生可以立即访问的方式在教室中演示传感器到分类器链的演示。

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