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Wide-Angle, Ultra-Wideband ISAR Imaging of Vehicles and Drones

In-situ, wide-angle, and ultra-wideband inverse synthetic aperture radar (ISAR) imaging of vehicles and drones is demonstrated using a portable ultra-wideband radar. In order to form well-focused ISAR images, motion compensation is performed before applying the k-space imaging algorithm. While the s...

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Detalles Bibliográficos
Autores principales: Li, Chenchen J., Ling, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210298/
https://www.ncbi.nlm.nih.gov/pubmed/30279376
http://dx.doi.org/10.3390/s18103311
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author Li, Chenchen J.
Ling, Hao
author_facet Li, Chenchen J.
Ling, Hao
author_sort Li, Chenchen J.
collection PubMed
description In-situ, wide-angle, and ultra-wideband inverse synthetic aperture radar (ISAR) imaging of vehicles and drones is demonstrated using a portable ultra-wideband radar. In order to form well-focused ISAR images, motion compensation is performed before applying the k-space imaging algorithm. While the same basic motion compensation methodology is applied to both types of targets, a more complex motion model is needed to better capture the flight path of the drone. The resulting ISAR images clearly show the geometrical outline of the targets and highlight locations of prominent backscattering. The ISAR images are also assessed against images generated through instrumented targets or laboratory measurements, and the image quality is shown to be comparable.
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spelling pubmed-62102982018-11-02 Wide-Angle, Ultra-Wideband ISAR Imaging of Vehicles and Drones Li, Chenchen J. Ling, Hao Sensors (Basel) Article In-situ, wide-angle, and ultra-wideband inverse synthetic aperture radar (ISAR) imaging of vehicles and drones is demonstrated using a portable ultra-wideband radar. In order to form well-focused ISAR images, motion compensation is performed before applying the k-space imaging algorithm. While the same basic motion compensation methodology is applied to both types of targets, a more complex motion model is needed to better capture the flight path of the drone. The resulting ISAR images clearly show the geometrical outline of the targets and highlight locations of prominent backscattering. The ISAR images are also assessed against images generated through instrumented targets or laboratory measurements, and the image quality is shown to be comparable. MDPI 2018-10-02 /pmc/articles/PMC6210298/ /pubmed/30279376 http://dx.doi.org/10.3390/s18103311 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Chenchen J.
Ling, Hao
Wide-Angle, Ultra-Wideband ISAR Imaging of Vehicles and Drones
title Wide-Angle, Ultra-Wideband ISAR Imaging of Vehicles and Drones
title_full Wide-Angle, Ultra-Wideband ISAR Imaging of Vehicles and Drones
title_fullStr Wide-Angle, Ultra-Wideband ISAR Imaging of Vehicles and Drones
title_full_unstemmed Wide-Angle, Ultra-Wideband ISAR Imaging of Vehicles and Drones
title_short Wide-Angle, Ultra-Wideband ISAR Imaging of Vehicles and Drones
title_sort wide-angle, ultra-wideband isar imaging of vehicles and drones
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210298/
https://www.ncbi.nlm.nih.gov/pubmed/30279376
http://dx.doi.org/10.3390/s18103311
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