Compressed Sensing for THz FMCW Radar 3D Imaging

A terahertz (THz) frequency-modulated continuous wave (FMCW) imaging radar system is developed for high-resolution 3D imaging recently. Aiming at the problems of long data acquisition periods and large sample sizes for the developed imaging system, an algorithm based on compressed sensing is propose...

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Main Authors: Shanshan Gu, Guangrong Xi, Lingyu Ge, Zhong Yang, Yizhi Wang, Weina Chen, Zhenzhong Yu
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/5576782
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author Shanshan Gu
Guangrong Xi
Lingyu Ge
Zhong Yang
Yizhi Wang
Weina Chen
Zhenzhong Yu
author_facet Shanshan Gu
Guangrong Xi
Lingyu Ge
Zhong Yang
Yizhi Wang
Weina Chen
Zhenzhong Yu
author_sort Shanshan Gu
collection DOAJ
description A terahertz (THz) frequency-modulated continuous wave (FMCW) imaging radar system is developed for high-resolution 3D imaging recently. Aiming at the problems of long data acquisition periods and large sample sizes for the developed imaging system, an algorithm based on compressed sensing is proposed for THz FMCW radar 3D imaging in this paper. Firstly, the FMCW radar signal model is built, and the conventional range migration algorithm is introduced for THz FMCW radar imaging. Then, compressed sensing is extended for THz FMCW radar 3D imaging, and the Newton smooth L0-norm (NSL0) algorithm is presented for sparse measurement data reconstruction. Both simulation and measurement experiments demonstrate the feasibility of reconstructing THz images from measurements even at the sparsity rate of 20%.
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institution OA Journals
issn 1076-2787
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publishDate 2021-01-01
publisher Wiley
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series Complexity
spelling doaj-art-bffcfea34f0d406d82acea75403719852025-08-20T02:19:27ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/55767825576782Compressed Sensing for THz FMCW Radar 3D ImagingShanshan Gu0Guangrong Xi1Lingyu Ge2Zhong Yang3Yizhi Wang4Weina Chen5Zhenzhong Yu6College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing 211169, ChinaShanghai Geometrical Perception and Learning Co., Ltd., Shanghai 201206, ChinaNanjing Metro Group Co., Ltd., Nanjing 210018, ChinaCollege of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing 211169, ChinaCollege of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing 211169, ChinaCollege of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing 211169, ChinaCollege of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing 211169, ChinaA terahertz (THz) frequency-modulated continuous wave (FMCW) imaging radar system is developed for high-resolution 3D imaging recently. Aiming at the problems of long data acquisition periods and large sample sizes for the developed imaging system, an algorithm based on compressed sensing is proposed for THz FMCW radar 3D imaging in this paper. Firstly, the FMCW radar signal model is built, and the conventional range migration algorithm is introduced for THz FMCW radar imaging. Then, compressed sensing is extended for THz FMCW radar 3D imaging, and the Newton smooth L0-norm (NSL0) algorithm is presented for sparse measurement data reconstruction. Both simulation and measurement experiments demonstrate the feasibility of reconstructing THz images from measurements even at the sparsity rate of 20%.http://dx.doi.org/10.1155/2021/5576782
spellingShingle Shanshan Gu
Guangrong Xi
Lingyu Ge
Zhong Yang
Yizhi Wang
Weina Chen
Zhenzhong Yu
Compressed Sensing for THz FMCW Radar 3D Imaging
Complexity
title Compressed Sensing for THz FMCW Radar 3D Imaging
title_full Compressed Sensing for THz FMCW Radar 3D Imaging
title_fullStr Compressed Sensing for THz FMCW Radar 3D Imaging
title_full_unstemmed Compressed Sensing for THz FMCW Radar 3D Imaging
title_short Compressed Sensing for THz FMCW Radar 3D Imaging
title_sort compressed sensing for thz fmcw radar 3d imaging
url http://dx.doi.org/10.1155/2021/5576782
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AT zhongyang compressedsensingforthzfmcwradar3dimaging
AT yizhiwang compressedsensingforthzfmcwradar3dimaging
AT weinachen compressedsensingforthzfmcwradar3dimaging
AT zhenzhongyu compressedsensingforthzfmcwradar3dimaging