Sparse Regularization With Learnable Partition Weights for Super-Resolution Imaging of Ultrawideband Radar
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DOI: 10.1109/tap.2024.3513647
Abstract: In this article, we propose a novel method based on sparse regularization with learnable partition weights (LPWs) for bandwidth extrapolation (BWE) 2-D imaging of ultrawideband radar. Our method aims to improve the quality of super-resolution… read more here.
Keywords: regularization learnable; sparse regularization; radar; super resolution ... See more keywords