Guided Reflectometry Imaging Unit Using Millimeter Wave FMCW Radars

<p>This article introduces a novel and simplified implementation of a <span><strong>guided terahertz reflectometry system</strong></span> that leverages <span><strong>Frequency Modulated Continuous Wave (FMCW) radar technology</strong></span> for imaging and sensing applications. The innovation lies in the use of a <span><strong>single hollow-core dielectric waveguide</strong></span> to directly connect the radar transceiver to the sample, eliminating the need for bulky and alignment-sensitive optical components typically required in quasi-optical setups.</p> <p> </p> <p>The study demonstrates that by combining FMCW radar systems—known for their phase-sensitive distance measurement capabilities—with dielectric waveguides, it becomes possible to differentiate between <span><strong>parasitic reflections</strong></span> along the waveguide and <span><strong>true sensing signals</strong></span> at the probing end. This significantly improves the <span><strong>signal-to-noise ratio (SNR)</strong></span> and simplifies the system architecture, paving the way for <span><strong>compact, portable, and cost-effective terahertz sensing solutions</strong></span>.</p> <p> </p> <p>Two radar architectures are tested:</p> <p><span> 1. A </span><strong>high-performance III-V semiconductor-based 100 GHz SynView radar unit</strong><span>, which serves as the reference, and</span></p> <p><span> 2. A </span><strong>compact, low-cost 122 GHz SiGe radar chip from Silicon Radar GmbH</strong><span>, illustrating the versatility of the concept.</span></p> <p> </p> <p>The study incorporates <span><strong>3D full-wave electromagnetic simulations</strong></span> to evaluate key aspects such as:</p> <p>• Power coupling efficiency between the radar and waveguide</p> <p>• Beam propagation and mode profiles within the waveguide</p> <p>• Influence of waveguide dimensions on performance</p> <p>• Imaging resolution and artefacts</p> <p> </p> <p>The use of a <span><strong>thin-walled polypropylene hollow-core waveguide</strong></span> is central to this approach. Its design is based on anti-resonant reflection guiding, enabling low-loss propagation in the air core. Coupling efficiencies are carefully examined through simulations and experiments, revealing an efficiency of ~70% with the horn-based SynView setup and ~18% with the compact patch-antenna chip.</p> <p> </p> <p><span><strong>Imaging capabilities</strong></span> of both configurations are validated through raster scans of standard test targets. Results show that the simpler low-cost system can achieve resolutions close to that of the more advanced setup, albeit with some artefacts. To improve resolution, a <span><strong>solid immersion lens</strong></span> is introduced at the waveguide’s output, enabling better beam focusing and minimizing ghost artefacts. With the lens, the resolution improves significantly—from ~4.5 mm to 2 mm for the SynView setup and down to 1.4 mm for the Silicon Radar system.</p> <p> </p> <p>Key performance metrics evaluated include:</p> <p>• Maximum achievable dynamic range (~27 dB)</p> <p>• Beam profile uniformity and imaging artefacts</p> <p>• Working distance and lateral resolution trade-offs</p> <p> </p> <p>Ultimately, the work <span><strong>proves the feasibility of a low-cost, guided terahertz FMCW reflectometry unit</strong></span>. It highlights its potential for scalable applications in <span><strong>non-destructive testing (NDT), remote sensing, and imaging</strong></span> across a wide range of industries. The modularity of the system—allowing different radar front-ends and waveguide configurations—adds flexibility and broadens its applicability.</p>

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-27
DOI
https://doi.org/10.1109/tthz.2020.300833
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Guided Reflectometry Imaging Unit Using Millimeter Wave FMCW Radars

Zenodo (CERN European Organization for Nuclear Research)
Mycorrhizal Fungi and Plant Interactions
article

Guided Reflectometry Imaging Unit Using Millimeter Wave FMCW Radars

article en

Abstract

<p>This article introduces a novel and simplified implementation of a <span><strong>guided terahertz reflectometry system</strong></span> that leverages <span><strong>Frequency Modulated Continuous Wave (FMCW) radar technology</strong></span> for imaging and sensing applications. The innovation lies in the use of a <span><strong>single hollow-core dielectric waveguide</strong></span> to directly connect the radar transceiver to the sample, eliminating the need for bulky and alignment-sensitive optical components typically required in quasi-optical setups.</p> <p> </p> <p>The study demonstrates that by combining FMCW radar systems—known for their phase-sensitive distance measurement capabilities—with dielectric waveguides, it becomes possible to differentiate between <span><strong>parasitic reflections</strong></span> along the waveguide and <span><strong>true sensing signals</strong></span> at the probing end. This significantly improves the <span><strong>signal-to-noise ratio (SNR)</strong></span> and simplifies the system architecture, paving the way for <span><strong>compact, portable, and cost-effective terahertz sensing solutions</strong></span>.</p> <p> </p> <p>Two radar architectures are tested:</p> <p><span> 1. A </span><strong>high-performance III-V semiconductor-based 100 GHz SynView radar unit</strong><span>, which serves as the reference, and</span></p> <p><span> 2. A </span><strong>compact, low-cost 122 GHz SiGe radar chip from Silicon Radar GmbH</strong><span>, illustrating the versatility of the concept.</span></p> <p> </p> <p>The study incorporates <span><strong>3D full-wave electromagnetic simulations</strong></span> to evaluate key aspects such as:</p> <p>• Power coupling efficiency between the radar and waveguide</p> <p>• Beam propagation and mode profiles within the waveguide</p> <p>• Influence of waveguide dimensions on performance</p> <p>• Imaging resolution and artefacts</p> <p> </p> <p>The use of a <span><strong>thin-walled polypropylene hollow-core waveguide</strong></span> is central to this approach. Its design is based on anti-resonant reflection guiding, enabling low-loss propagation in the air core. Coupling efficiencies are carefully examined through simulations and experiments, revealing an efficiency of ~70% with the horn-based SynView setup and ~18% with the compact patch-antenna chip.</p> <p> </p> <p><span><strong>Imaging capabilities</strong></span> of both configurations are validated through raster scans of standard test targets. Results show that the simpler low-cost system can achieve resolutions close to that of the more advanced setup, albeit with some artefacts. To improve resolution, a <span><strong>solid immersion lens</strong></span> is introduced at the waveguide’s output, enabling better beam focusing and minimizing ghost artefacts. With the lens, the resolution improves significantly—from ~4.5 mm to 2 mm for the SynView setup and down to 1.4 mm for the Silicon Radar system.</p> <p> </p> <p>Key performance metrics evaluated include:</p> <p>• Maximum achievable dynamic range (~27 dB)</p> <p>• Beam profile uniformity and imaging artefacts</p> <p>• Working distance and lateral resolution trade-offs</p> <p> </p> <p>Ultimately, the work <span><strong>proves the feasibility of a low-cost, guided terahertz FMCW reflectometry unit</strong></span>. It highlights its potential for scalable applications in <span><strong>non-destructive testing (NDT), remote sensing, and imaging</strong></span> across a wide range of industries. The modularity of the system—allowing different radar front-ends and waveguide configurations—adds flexibility and broadens its applicability.</p>

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 54%
Mycorrhizal Fungi and Plant Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.