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Terahertz Imaging and Tomography with FMCW Radars

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Radar Sensors".

Deadline for manuscript submissions: 25 January 2026 | Viewed by 654

Special Issue Editor


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Guest Editor
IMS Laboratory, University of Bordeaux, 3340 Talence, France
Interests: terahertz wave imaging; biomedical optical imaging; cancer; image reconstruction; image resolution; terahertz spectroscopy

Special Issue Information

Dear Colleagues,

Frequency-Modulated Continuous-Wave (FMCW) radars operating in the terahertz (THz) range offer unique capabilities for high-resolution and noninvasive sensing, imaging, and tomography. Combining wide bandwidths with coherent detection, THz FMCW systems enable submillimeter depth resolution, penetration through optically opaque materials, and enhanced contrast in complex media. This Special Issue aims to showcase recent advances in THz FMCW technology, including hardware innovations, novel signal processing algorithms, and emerging applications in areas such as biomedical imaging, nondestructive testing, cultural heritage inspection, security screening, and industrial process monitoring. Contributions exploring hybrid systems (e.g., combining time-domain or near-field techniques), compact on-chip solutions or novel architectures (e.g., topological beamformers), and advanced data processing are particularly encouraged to be submitted.

Dr. Jean-Paul Guillet
Guest Editor

Manuscript Submission Information

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Keywords

  • FMCW
  • imaging
  • radars
  • sensing
  • tomography

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Published Papers (1 paper)

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Research

23 pages, 9394 KB  
Article
Burg-Aided 2D MIMO Array Extrapolation for Improved Spatial Resolution
by Muge Bekar, Ali Bekar, Anum Pirkani, Christopher John Baker and Marina Gashinova
Sensors 2025, 25(20), 6310; https://doi.org/10.3390/s25206310 - 12 Oct 2025
Viewed by 367
Abstract
In this paper, the extrapolation of a 2D multiple-input multiple-output (MIMO) array is proposed using the Burg algorithm to achieve higher angular resolution beyond that of the corresponding 2D MIMO virtual array. The main advantage of such an approach is that it allows [...] Read more.
In this paper, the extrapolation of a 2D multiple-input multiple-output (MIMO) array is proposed using the Burg algorithm to achieve higher angular resolution beyond that of the corresponding 2D MIMO virtual array. The main advantage of such an approach is that it allows us to dramatically decrease both the physical size and the number of antenna elements of the MIMO array. The performance and limitations of the Burg algorithm are examined through both simulation and experimentation at 77 GHz. The experimental methodology used to acquire 3D data of range, azimuth and elevation information with the 1D MIMO off-the-shelf radar is described. Using this method, the performance of the proposed array can be tested experimentally, especially at frequencies where it is desired to assess the antenna response prior to fabricating the antenna. Full article
(This article belongs to the Special Issue Terahertz Imaging and Tomography with FMCW Radars)
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