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Millimeter-Wave Imaging With Accelerated Super-Resolution Range Migration Algorithm
Guo, Qijia1; Liang, Jie1; Chang, Tianying1,2; Cui, Hong-Liang1,3
2019-11-01
摘要Millimeter-wave imaging systems are increasingly used in human screening at checkpoints, in linear or multi-input multi-output (MIMO) array modes. Rather than pressing intrinsic system requirements to improve image quality, it seems more economical to appeal to some specific approaches, for example, super-resolution (SR) techniques. In this paper, as a variation of SR, coherence factor (CF) is incorporated in the framework of the range migration algorithm (RMA), termed CF-RMA for short. As a critical part of CF, the double integral in the wavenumber domain is approximated by a single integral in the sense of the point-matching method, resulting in a particular formulation to carry on another independent RMA program. Being computationally efficient, the proposed method is shown to be effective in suppressing sidelobes and background noise. The resolution (as gauged by the width of the main lobe of the point spread function) is enhanced as well. A structural similarity (SSIM) index is employed to quantify the image quality enhancement with respect to state-of-the-art SR approaches. In terms of computation load, the new approach is shown to be much more efficient than state-of-the-art SR approaches.
关键词Imaging Image resolution Image quality Radar imaging Acceleration Millimeter wave radar Coherence factor (CF) millimeter-wave imaging range migration algorithm (RMA) real-time super-resolution (SR)
DOI10.1109/TMTT.2019.2924997
发表期刊IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
ISSN0018-9480
卷号67期号:11页码:4610-4621
通讯作者Chang, Tianying(tchang@jlu.edu.cn)
收录类别SCI
WOS记录号WOS:000497489400030
语种英语