We give an overview of the EDA CAT B R&D project “Signal Processing for Enhanced Radar Imaging” (SPERI). In this project, the benefits of applying two super-resolution methods Super Spatially Variant Apodization (SSVA) and Compressed Sensing (CS) to two-dimensional Inverse Synthetic Aperture Radar (ISAR) images of airborne radar targets were investigated with respect to the improvements in automatic target identification rates. The algorithms have been tested over a database of more than 1200 real radar images.

中文翻译：

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SPERI 项目的超分辨率和目标识别技术结果


我们概述了 EDA CAT B 研发项目“增强雷达成像的信号处理”(SPERI)。在该项目中，研究了将超空间变迹（SSVA）和压缩感知（CS）两种超分辨率方法应用于机载雷达目标二维逆合成孔径雷达（ISAR）图像的好处，并在以下方面进行了改进：自动目标识别率。这些算法已经在包含 1200 多张真实雷达图像的数据库中进行了测试。