A tomographic approach to polarimetrie radar cross-section imaging

S.3940-3944 Three-dimensional radar cross-section (RCS) images are a valuable support for understanding the scattering events occurring at a radar target. Traditional RCS measurement methods require a large angular range and many measurement points to provide sufficient resolution and unambiguousnes...

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Published in:2017 11th European Conference on Antennas and Propagation (EUCAP)
Main Authors: Moch, R., Dallmann, T., Heberling, D.
Format: Conference Object
Language:English
Published: 2017
Subjects:
621
DML
Online Access:https://publica.fraunhofer.de/handle/publica/402201
https://doi.org/10.23919/EuCAP.2017.7928491
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spelling ftfrauneprints:oai:publica.fraunhofer.de:publica/402201 2024-05-12T08:02:56+00:00 A tomographic approach to polarimetrie radar cross-section imaging Moch, R. Dallmann, T. Heberling, D. 2017 https://publica.fraunhofer.de/handle/publica/402201 https://doi.org/10.23919/EuCAP.2017.7928491 en eng European Conference on Antennas and Propagation (EUCAP) 2017 11th European Conference on Antennas and Propagation, EUCAP 2017 doi:10.23919/EuCAP.2017.7928491 https://publica.fraunhofer.de/handle/publica/402201 621 conference paper 2017 ftfrauneprints https://doi.org/10.23919/EuCAP.2017.7928491 2024-04-17T14:19:38Z S.3940-3944 Three-dimensional radar cross-section (RCS) images are a valuable support for understanding the scattering events occurring at a radar target. Traditional RCS measurement methods require a large angular range and many measurement points to provide sufficient resolution and unambiguousness. This paper proposes the usage of high-resolution techniques, enabled by taking only the polarimetric signal components into account. Therefore, the geometry of a compact antenna test range is integrated into a signal model similar to the one of the direction of arrival (DOA) problem. Subsequently, Bartlett-Beamformer, Multiple Signal Classification (MuSiC) and Deterministic Maximum Likelihood (DML) are adapted and analyzed according to their performance regarding tomographic RCS imaging. The validation of this approach is done by measuring a reference target's RCS along three dimensions. A comparison of the results of the three algorithms is provided in the end, constituting the advantages of MuSiC. Conference Object DML Publikationsdatenbank der Fraunhofer-Gesellschaft 2017 11th European Conference on Antennas and Propagation (EUCAP) 3940 3944
institution Open Polar
collection Publikationsdatenbank der Fraunhofer-Gesellschaft
op_collection_id ftfrauneprints
language English
topic 621
spellingShingle 621
Moch, R.
Dallmann, T.
Heberling, D.
A tomographic approach to polarimetrie radar cross-section imaging
topic_facet 621
description S.3940-3944 Three-dimensional radar cross-section (RCS) images are a valuable support for understanding the scattering events occurring at a radar target. Traditional RCS measurement methods require a large angular range and many measurement points to provide sufficient resolution and unambiguousness. This paper proposes the usage of high-resolution techniques, enabled by taking only the polarimetric signal components into account. Therefore, the geometry of a compact antenna test range is integrated into a signal model similar to the one of the direction of arrival (DOA) problem. Subsequently, Bartlett-Beamformer, Multiple Signal Classification (MuSiC) and Deterministic Maximum Likelihood (DML) are adapted and analyzed according to their performance regarding tomographic RCS imaging. The validation of this approach is done by measuring a reference target's RCS along three dimensions. A comparison of the results of the three algorithms is provided in the end, constituting the advantages of MuSiC.
format Conference Object
author Moch, R.
Dallmann, T.
Heberling, D.
author_facet Moch, R.
Dallmann, T.
Heberling, D.
author_sort Moch, R.
title A tomographic approach to polarimetrie radar cross-section imaging
title_short A tomographic approach to polarimetrie radar cross-section imaging
title_full A tomographic approach to polarimetrie radar cross-section imaging
title_fullStr A tomographic approach to polarimetrie radar cross-section imaging
title_full_unstemmed A tomographic approach to polarimetrie radar cross-section imaging
title_sort tomographic approach to polarimetrie radar cross-section imaging
publishDate 2017
url https://publica.fraunhofer.de/handle/publica/402201
https://doi.org/10.23919/EuCAP.2017.7928491
genre DML
genre_facet DML
op_relation European Conference on Antennas and Propagation (EUCAP) 2017
11th European Conference on Antennas and Propagation, EUCAP 2017
doi:10.23919/EuCAP.2017.7928491
https://publica.fraunhofer.de/handle/publica/402201
op_doi https://doi.org/10.23919/EuCAP.2017.7928491
container_title 2017 11th European Conference on Antennas and Propagation (EUCAP)
container_start_page 3940
op_container_end_page 3944
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