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Small multicopter-UAV-based radar imaging: Performance assessment for a single flight track

Academic Article
Publication Date:
2020
abstract:
This paper deals with a feasibility study assessing the reconstruction capabilities of a small Multicopter-Unmanned Aerial Vehicle (M-UAV) based radar system, whose flight positions are determined by using the Carrier-Phase Differential GPS (CDGPS) technique. The paper describes the overall radar imaging system in terms of both hardware devices and data processing strategy for the case of a single flight track. The data processing is cast as the solution of an inverse scattering problem and is able to provide focused images of on surface targets. In particular, the reconstruction is approached through the adjoint of the functional operator linking the unknown contrast function to the scattered field data, which is computed by taking into account the actual flight positions provided by the CDGPS technique. For this inverse problem, we provide an analysis of the reconstruction capabilities by showing the effect of the radar parameters, the flight altitude and the spatial offset between target and flight path on the resolution limits. A measurement campaign is carried out to demonstrate the imaging capabilities in controlled conditions. Experimental results referred to two surveys performed on the same scene but at two different UAV altitudes verify the consistency of these results with the theoretical resolution analysis.
Iris type:
01.01 Articolo in rivista
Keywords:
Global positioning systems; Inverse scattering; Linear scattering models; Radar imaging; Unmanned aerial vehicle
List of contributors:
ACUÑA SOLORZANO, GINA MARIA; Esposito, Giuseppe; Soldovieri, Francesco; Catapano, Ilaria; Ludeno, Giovanni; Gennarelli, Gianluca; Noviello, Carlo
Authors of the University:
CATAPANO ILARIA
GENNARELLI GIANLUCA
LUDENO GIOVANNI
NOVIELLO CARLO
Handle:
https://iris.cnr.it/handle/20.500.14243/385161
Published in:
REMOTE SENSING (BASEL)
Journal
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http://www.scopus.com/record/display.url?eid=2-s2.0-85081923759&origin=inward
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