Compressed Sensing for THz FMCW Radar 3D Imaging

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: Hindawi-Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/5576782
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spelling doaj-bffcfea34f0d406d82acea75403719852021-09-06T00:00:33ZengHindawi-WileyComplexity1099-05262021-01-01202110.1155/2021/5576782Compressed Sensing for THz FMCW Radar 3D ImagingShanshan Gu0Guangrong Xi1Lingyu Ge2Zhong Yang3Yizhi Wang4Weina Chen5Zhenzhong Yu6College of Intelligent Science and Control EngineeringShanghai Geometrical Perception and Learning Co., Ltd.Nanjing Metro Group Co., Ltd.College of Intelligent Science and Control EngineeringCollege of Intelligent Science and Control EngineeringCollege of Intelligent Science and Control EngineeringCollege of Intelligent Science and Control EngineeringA 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
collection DOAJ
language English
format Article
sources DOAJ
author Shanshan Gu
Guangrong Xi
Lingyu Ge
Zhong Yang
Yizhi Wang
Weina Chen
Zhenzhong Yu
spellingShingle Shanshan Gu
Guangrong Xi
Lingyu Ge
Zhong Yang
Yizhi Wang
Weina Chen
Zhenzhong Yu
Compressed Sensing for THz FMCW Radar 3D Imaging
Complexity
author_facet Shanshan Gu
Guangrong Xi
Lingyu Ge
Zhong Yang
Yizhi Wang
Weina Chen
Zhenzhong Yu
author_sort Shanshan Gu
title Compressed Sensing for THz FMCW Radar 3D Imaging
title_short 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_sort compressed sensing for thz fmcw radar 3d imaging
publisher Hindawi-Wiley
series Complexity
issn 1099-0526
publishDate 2021-01-01
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%.
url http://dx.doi.org/10.1155/2021/5576782
work_keys_str_mv AT shanshangu compressedsensingforthzfmcwradar3dimaging
AT guangrongxi compressedsensingforthzfmcwradar3dimaging
AT lingyuge compressedsensingforthzfmcwradar3dimaging
AT zhongyang compressedsensingforthzfmcwradar3dimaging
AT yizhiwang compressedsensingforthzfmcwradar3dimaging
AT weinachen compressedsensingforthzfmcwradar3dimaging
AT zhenzhongyu compressedsensingforthzfmcwradar3dimaging
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