移动小型雷达系统设备形成的雷达肖像上目标的分类与识别

2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF) Pub Date : 2020-06-01 DOI:10.1109/WECONF48837.2020.9131475

A. Sentsov, S. A. Ivanov, S. Nenashev, E. Turnetskaya

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引用次数: 3

摘要

本文考虑了利用分布式移动雷达站形成的雷达肖像图像对目标进行分类和识别的可能性。本文讨论了利用级联有源相控波导槽天线阵列技术建立的雷达站探测小型空中目标的问题。工作的结果是建立了基于小型移动智能雷达系统的方法论和软硬件模块，评估了其在现代国产元件基础上的实现情况，并确定了其特性。提出了一种基于神经网络算法的小尺寸目标识别方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Classification and Recognition of Objects on Radar Portraits Formed by the Equipment of Mobile Small-Size Radar Systems

The article considers the possibility of using algorithms for classifying and recognizing objects on radar portraits formed by the distributed mobile radar stations. The article covers the issues of detecting small-sized aerial objects using radar stations built using the technology of cascaded active phased waveguide-slot antenna arrays. The result of the work is the creation of a methodology and a software and hardware module based on a small-sized mobile intelligent radar system, an assessment of its implementation on a modern domestic element base and the determination of its characteristics. A method for recognizing small-sized objects based on the use of neural network algorithms is proposed.

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2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)

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