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dc.contributor.authorYanik, Muhammet Emin
dc.contributor.authorTorlak, Murat
dc.date.accessioned2020-01-29T20:48:14Z
dc.date.available2020-01-29T20:48:14Z
dc.date.issued2019-03-04
dc.identifier.issn2169-3536
dc.identifier.urihttp://dx.doi.org/10.1109/ACCESS.2019.2902859
dc.identifier.urihttps://hdl.handle.net/10735.1/7207
dc.description.abstractThe 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. © 2019 IEEE.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.rightsOpen Access Publishing Agreement. Commercial use is prohibited
dc.rights©2019 IEEE
dc.rightshttps://open.ieee.org/index.php/about-ieee-open-access/faqs/
dc.subjectMillimeter waves
dc.subjectMIMO systems
dc.subjectSynthetic aperture radar
dc.subjectCost effectiveness
dc.subjectData acquisition
dc.subjectImage reconstruction
dc.subjectDegree of freedom (mechanics)
dc.subjectFeedback control systems
dc.subjectRadio--Transmitter-receivers
dc.titleNear-Field MIMO-SAR Millimeter-Wave Imaging With Sparsely Sampled Aperture Data
dc.type.genrearticle
dc.description.departmentErik Jonsson School of Engineering and Computer Science
dc.identifier.bibliographicCitationYanik, M. E., and M. Torlak. 2019. "Near-Field MIMO-SAR Millimeter-Wave Imaging with Sparsely Sampled Aperture Data." Ieee Access 7: 31801-31819, doi: 10.1109/ACCESS.2019.2902859
dc.source.journalIEEE Access
dc.identifier.volume7
dc.contributor.utdAuthorYanik, Muhammet Emin
dc.contributor.utdAuthorTorlak, Murat
dc.contributor.ORCID0000-0001-8682-4577 (Yanik, ME)
dc.contributor.ORCID0000-0001-7229-1765 (Torlak, M)


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