Near-Field MIMO-SAR Millimeter-Wave Imaging With Sparsely Sampled Aperture Data
The primary challenge of a cost-effective and low-complexity near-field millimeter-wave (mmWave) imaging system is to achieve high resolution with a few antenna elements as possible. Multiple-input multiple-output (MIMO) radar using simultaneous operation of spatially diverse transmit and receive an...
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doaj-8c9e6f1f1d1848f88be1f9c88d586e822021-03-29T22:18:38ZengIEEEIEEE Access2169-35362019-01-017318013181910.1109/ACCESS.2019.29028598658136Near-Field MIMO-SAR Millimeter-Wave Imaging With Sparsely Sampled Aperture DataMuhammet Emin Yanik0https://orcid.org/0000-0001-8682-4577Murat Torlak1Department of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, TX, USADepartment of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, TX, USAThe primary challenge of a cost-effective and low-complexity near-field millimeter-wave (mmWave) imaging system is to achieve high resolution with a few antenna elements as possible. Multiple-input multiple-output (MIMO) radar using simultaneous operation of spatially diverse transmit and receive antennas is a good candidate to increase the number of available degrees of freedom. On the other hand, higher integration complexity of extremely dense transceiver electronics limits the use of MIMO only solutions within a relatively large imaging aperture. Hybrid concepts combining synthetic aperture radar (SAR) techniques and sparse MIMO arrays present a good compromise to achieve short data acquisition time and low complexity. However, compared with conventional monostatic sampling schemes, image reconstruction methods for MIMO-SAR are more complicated. In this paper, we propose a high-resolution mmWave imaging system combining 2-D MIMO arrays with SAR, along with a novel Fourier-based image reconstruction algorithm using sparsely sampled aperture data. The proposed algorithm is verified by both simulation and processing real data collected with our mmWave imager prototype utilizing commercially available 77-GHz MIMO radar sensors. The experimental results confirm that our complete solution presents a strong potential in high-resolution imaging with a significantly reduced number of antenna elements.https://ieeexplore.ieee.org/document/8658136/Millimeter-wave radar (mmWave)near-field radar imagingsynthetic aperture radar (SAR)frequency-modulated continuous-wave (FMCW)multiple-input multiple-output (MIMO) radarIWR1443 mmWave sensors |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Muhammet Emin Yanik Murat Torlak |
spellingShingle |
Muhammet Emin Yanik Murat Torlak Near-Field MIMO-SAR Millimeter-Wave Imaging With Sparsely Sampled Aperture Data IEEE Access Millimeter-wave radar (mmWave) near-field radar imaging synthetic aperture radar (SAR) frequency-modulated continuous-wave (FMCW) multiple-input multiple-output (MIMO) radar IWR1443 mmWave sensors |
author_facet |
Muhammet Emin Yanik Murat Torlak |
author_sort |
Muhammet Emin Yanik |
title |
Near-Field MIMO-SAR Millimeter-Wave Imaging With Sparsely Sampled Aperture Data |
title_short |
Near-Field MIMO-SAR Millimeter-Wave Imaging With Sparsely Sampled Aperture Data |
title_full |
Near-Field MIMO-SAR Millimeter-Wave Imaging With Sparsely Sampled Aperture Data |
title_fullStr |
Near-Field MIMO-SAR Millimeter-Wave Imaging With Sparsely Sampled Aperture Data |
title_full_unstemmed |
Near-Field MIMO-SAR Millimeter-Wave Imaging With Sparsely Sampled Aperture Data |
title_sort |
near-field mimo-sar millimeter-wave imaging with sparsely sampled aperture data |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
The primary challenge of a cost-effective and low-complexity near-field millimeter-wave (mmWave) imaging system is to achieve high resolution with a few antenna elements as possible. Multiple-input multiple-output (MIMO) radar using simultaneous operation of spatially diverse transmit and receive antennas is a good candidate to increase the number of available degrees of freedom. On the other hand, higher integration complexity of extremely dense transceiver electronics limits the use of MIMO only solutions within a relatively large imaging aperture. Hybrid concepts combining synthetic aperture radar (SAR) techniques and sparse MIMO arrays present a good compromise to achieve short data acquisition time and low complexity. However, compared with conventional monostatic sampling schemes, image reconstruction methods for MIMO-SAR are more complicated. In this paper, we propose a high-resolution mmWave imaging system combining 2-D MIMO arrays with SAR, along with a novel Fourier-based image reconstruction algorithm using sparsely sampled aperture data. The proposed algorithm is verified by both simulation and processing real data collected with our mmWave imager prototype utilizing commercially available 77-GHz MIMO radar sensors. The experimental results confirm that our complete solution presents a strong potential in high-resolution imaging with a significantly reduced number of antenna elements. |
topic |
Millimeter-wave radar (mmWave) near-field radar imaging synthetic aperture radar (SAR) frequency-modulated continuous-wave (FMCW) multiple-input multiple-output (MIMO) radar IWR1443 mmWave sensors |
url |
https://ieeexplore.ieee.org/document/8658136/ |
work_keys_str_mv |
AT muhammeteminyanik nearfieldmimosarmillimeterwaveimagingwithsparselysampledaperturedata AT murattorlak nearfieldmimosarmillimeterwaveimagingwithsparselysampledaperturedata |
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1724191868718153728 |