Millimeter-Wave Imaging With Accelerated Super-Resolution Range Migration Algorithm

doi:10.1109/TMTT.2019.2924997

	Millimeter-Wave Imaging With Accelerated Super-Resolution Range Migration Algorithm
	Guo, Qijia 2; Liang, Jie 2; Chang, Tianying 1,2; Cui, Hong-Liang 2,3
刊名	IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
	2019-11-01
卷号	67 期号:11 页码:4610-4621
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)
ISSN号	0018-9480
DOI	10.1109/TMTT.2019.2924997
通讯作者	Chang, Tianying(tchang@jlu.edu.cn)
英文摘要	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.
资助项目	National Natural Science Foundation of China[61875196] ; Department of Science & Technology of Shandong Province[2017GSF20114] ; Department of Science & Technology of Shandong Province[2018GGX101043] ; Innovation Program of the Shandong Academy of Sciences
WOS研究方向	Engineering
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000497489400030
内容类型	期刊论文
源URL	[http://119.78.100.138/handle/2HOD01W0/9973]
专题	中国科学院重庆绿色智能技术研究院
通讯作者	Chang, Tianying
作者单位	1.Qilu Univ Technol, Inst Automat, Shandong Acad Sci, Jinan 250014, Shandong, Peoples R China 2.Jilin Univ, Coll Instrumentat & Elect Engn, Changchun 130061, Jilin, Peoples R China 3.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China
推荐引用方式 GB/T 7714	Guo, Qijia,Liang, Jie,Chang, Tianying,et al. Millimeter-Wave Imaging With Accelerated Super-Resolution Range Migration Algorithm[J]. IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES,2019,67(11):4610-4621.
APA	Guo, Qijia,Liang, Jie,Chang, Tianying,&Cui, Hong-Liang.(2019).Millimeter-Wave Imaging With Accelerated Super-Resolution Range Migration Algorithm.IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES,67(11),4610-4621.
MLA	Guo, Qijia,et al."Millimeter-Wave Imaging With Accelerated Super-Resolution Range Migration Algorithm".IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES 67.11(2019):4610-4621.