Sub-mm Resolution Indoor THz Range and SAR Imaging of Concealed ObjectShow others and affiliations
2020 (English)In: 2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility, ICMIM 2020, Institute of Electrical and Electronics Engineers Inc. , 2020, article id 9299034Conference paper, Published paper (Refereed)
Abstract [en]
In radar systems, the frequency range is being extended to high frequencies such as THz for sub-mm resolution. The spectrum offers high resolution but on the contrary, propagation distance and penetration depth are limited because of smaller wavelength. It suffers from higher atmospheric absorption in comparison to sub-GHz systems. In comparison to optical technology, the radar technique majorly benefits with respect to the penetration property such as cloud/smoke cover penetration and detection of concealed objects. However, the THz range and synthetic aperture radar (SAR) imaging of concealed objects are not very well established. Therefore, this paper examines this property at THz. A testbed has been set up with a bandwidth of 110 GHz at a carrier frequency of 275 GHz. The imaging is performed of a very small metal object. Firstly, the sub-mm resolution is validated with the experiment after that the range and SAR imaging are performed in which this object is covered with different types of materials. The backscattered data is processed with the image reconstruction algorithms and the results are presented in this paper with respect to sub-mm resolution and detection. © 2020 IEEE.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020. article id 9299034
Keywords [en]
hidden objects, high resolution imaging, indoor radar, localization and imaging, radar, synthetic aperture radar, terahertz, Image reconstruction, Object detection, Atmospheric absorption, Carrier frequency, Concealed objects, High frequency HF, Image reconstruction algorithm, Optical technology, Penetration property, Propagation distances, Radar imaging
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-20994DOI: 10.1109/ICMIM48759.2020.9299034ISI: 000723661600023Scopus ID: 2-s2.0-85099457066ISBN: 9781728167558 (print)OAI: oai:DiVA.org:bth-20994DiVA, id: diva2:1523917
Conference
2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility, ICMIM 2020, Linz, Austria, 23 November 2020
2021-01-292021-01-292022-01-03Bibliographically approved