基于 CNN 的高效毫米波移动雷达成像超分辨率算法（英文版）

英文标题：Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar Imaging中文摘要：本文提出了一种卷积神经网络方法，以提高移动设备中在近场条件下智能手机合成孔径雷达成像的超分辨率，具有高效率、高分辨率的雷达成像能力。英文摘要：In this paper, we introduce an innovative super resolution approach toemerging modes of near-field synthetic aperture radar (SAR) imaging. Recentresearch extends convolutional neural network (CNN) architectures from theoptical to the electromagnetic domain to achieve super resolution on imagesgenerated from radar signaling. Specifically,