Fourier Compatible Near-Field Multiple-Input Multiple-Output Terahertz Imaging With Sparse Non-Uniform Apertures
Among image reconstruction methods, Fourier transform-based techniques provide computationally better performance. However, conventional Fourier-based reconstruction techniques require uniform data sampling at the radar aperture. In this paper, a multiple-input multiple-output (MIMO) scenario for ne...
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IEEE
2021
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oai:doaj.org-article:245d822431d942b2a210cdf8253295572021-12-03T00:00:51ZFourier Compatible Near-Field Multiple-Input Multiple-Output Terahertz Imaging With Sparse Non-Uniform Apertures2169-353610.1109/ACCESS.2021.3130079https://doaj.org/article/245d822431d942b2a210cdf8253295572021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9624943/https://doaj.org/toc/2169-3536Among image reconstruction methods, Fourier transform-based techniques provide computationally better performance. However, conventional Fourier-based reconstruction techniques require uniform data sampling at the radar aperture. In this paper, a multiple-input multiple-output (MIMO) scenario for near-field (NF) terahertz imaging systems is considered. A compressive-sensing-based method compatible with efficient fast Fourier-based techniques for image reconstruction is proposed. To reduce the error due to the multistatic array topology in the NF, a multistatic-to-monostatic conversion is used. Employing the proposed method significantly reduces the number of antennas and channels. This, in addition to saving hardware resources, can improve the overall performance of the system depending on the type of channel access scheme. The results based on both numerical and electromagnetic data, presented as reconstructed images of the scene, confirm the performance of the proposed method.Amir Masoud MolaeiShaoqing HuVasiliki SkouroliakouVincent FuscoXiaodong ChenOkan YurdusevenIEEEarticleCompressive sensingFourier-based techniquesMIMOnear-fieldTHz imagingElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 157278-157294 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Compressive sensing Fourier-based techniques MIMO near-field THz imaging Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
| spellingShingle |
Compressive sensing Fourier-based techniques MIMO near-field THz imaging Electrical engineering. Electronics. Nuclear engineering TK1-9971 Amir Masoud Molaei Shaoqing Hu Vasiliki Skouroliakou Vincent Fusco Xiaodong Chen Okan Yurduseven Fourier Compatible Near-Field Multiple-Input Multiple-Output Terahertz Imaging With Sparse Non-Uniform Apertures |
| description |
Among image reconstruction methods, Fourier transform-based techniques provide computationally better performance. However, conventional Fourier-based reconstruction techniques require uniform data sampling at the radar aperture. In this paper, a multiple-input multiple-output (MIMO) scenario for near-field (NF) terahertz imaging systems is considered. A compressive-sensing-based method compatible with efficient fast Fourier-based techniques for image reconstruction is proposed. To reduce the error due to the multistatic array topology in the NF, a multistatic-to-monostatic conversion is used. Employing the proposed method significantly reduces the number of antennas and channels. This, in addition to saving hardware resources, can improve the overall performance of the system depending on the type of channel access scheme. The results based on both numerical and electromagnetic data, presented as reconstructed images of the scene, confirm the performance of the proposed method. |
| format |
article |
| author |
Amir Masoud Molaei Shaoqing Hu Vasiliki Skouroliakou Vincent Fusco Xiaodong Chen Okan Yurduseven |
| author_facet |
Amir Masoud Molaei Shaoqing Hu Vasiliki Skouroliakou Vincent Fusco Xiaodong Chen Okan Yurduseven |
| author_sort |
Amir Masoud Molaei |
| title |
Fourier Compatible Near-Field Multiple-Input Multiple-Output Terahertz Imaging With Sparse Non-Uniform Apertures |
| title_short |
Fourier Compatible Near-Field Multiple-Input Multiple-Output Terahertz Imaging With Sparse Non-Uniform Apertures |
| title_full |
Fourier Compatible Near-Field Multiple-Input Multiple-Output Terahertz Imaging With Sparse Non-Uniform Apertures |
| title_fullStr |
Fourier Compatible Near-Field Multiple-Input Multiple-Output Terahertz Imaging With Sparse Non-Uniform Apertures |
| title_full_unstemmed |
Fourier Compatible Near-Field Multiple-Input Multiple-Output Terahertz Imaging With Sparse Non-Uniform Apertures |
| title_sort |
fourier compatible near-field multiple-input multiple-output terahertz imaging with sparse non-uniform apertures |
| publisher |
IEEE |
| publishDate |
2021 |
| url |
https://doaj.org/article/245d822431d942b2a210cdf825329557 |
| work_keys_str_mv |
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