Abstract
High resolution image can be obtained with backprojection (BP) algorithm, but at the same time, significant grating lobes will be brought in radar image and reduce the quality of image. This paper presents a through-the-wall radar (TWR) imaging method based on deep learning to improve the quality of radar image. A convolutional neural network was designed for TWR imaging, the radar image can be obtained as the output of neural network. The simulation and real data experiments demonstrate the effectiveness of proposed method.
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