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An Imaging Plane Calibration Method for MIMO Radar Imaging

In two dimensional cross-range multiple-input multiple-output radar imaging for aerial targets, due to the non-cooperative movement of the targets, the estimated imaging plane parameters, namely the center and the posture angles of the imaging plane, may have deviations from true values, which defoc...

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Detalles Bibliográficos
Autores principales: Guo, Yuanyue, Yuan, Bo, Wang, Zhaohui, Xia, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929189/
https://www.ncbi.nlm.nih.gov/pubmed/31795432
http://dx.doi.org/10.3390/s19235261
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author Guo, Yuanyue
Yuan, Bo
Wang, Zhaohui
Xia, Rui
author_facet Guo, Yuanyue
Yuan, Bo
Wang, Zhaohui
Xia, Rui
author_sort Guo, Yuanyue
collection PubMed
description In two dimensional cross-range multiple-input multiple-output radar imaging for aerial targets, due to the non-cooperative movement of the targets, the estimated imaging plane parameters, namely the center and the posture angles of the imaging plane, may have deviations from true values, which defocus the final image. This problem is called imaging plane mismatch in this paper. Focusing on this problem, firstly the deviations of spatial spectrum fulfilling region caused by imaging plane mismatch is analyzed, as well as the errors of the corresponding spatial spectral values. Thereupon, the calibration operation is deduced when the imaging plane parameters are accurately obtained. Afterwards, an imaging plane calibration algorithm is proposed to utilize particle swarm optimization to search out the imaging plane parameters. Finally, it is demonstrated through simulations that the proposed algorithm can accurately estimate the imaging plane parameters and achieve good image focusing performance.
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spelling pubmed-69291892019-12-26 An Imaging Plane Calibration Method for MIMO Radar Imaging Guo, Yuanyue Yuan, Bo Wang, Zhaohui Xia, Rui Sensors (Basel) Article In two dimensional cross-range multiple-input multiple-output radar imaging for aerial targets, due to the non-cooperative movement of the targets, the estimated imaging plane parameters, namely the center and the posture angles of the imaging plane, may have deviations from true values, which defocus the final image. This problem is called imaging plane mismatch in this paper. Focusing on this problem, firstly the deviations of spatial spectrum fulfilling region caused by imaging plane mismatch is analyzed, as well as the errors of the corresponding spatial spectral values. Thereupon, the calibration operation is deduced when the imaging plane parameters are accurately obtained. Afterwards, an imaging plane calibration algorithm is proposed to utilize particle swarm optimization to search out the imaging plane parameters. Finally, it is demonstrated through simulations that the proposed algorithm can accurately estimate the imaging plane parameters and achieve good image focusing performance. MDPI 2019-11-29 /pmc/articles/PMC6929189/ /pubmed/31795432 http://dx.doi.org/10.3390/s19235261 Text en © 2019 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
Guo, Yuanyue
Yuan, Bo
Wang, Zhaohui
Xia, Rui
An Imaging Plane Calibration Method for MIMO Radar Imaging
title An Imaging Plane Calibration Method for MIMO Radar Imaging
title_full An Imaging Plane Calibration Method for MIMO Radar Imaging
title_fullStr An Imaging Plane Calibration Method for MIMO Radar Imaging
title_full_unstemmed An Imaging Plane Calibration Method for MIMO Radar Imaging
title_short An Imaging Plane Calibration Method for MIMO Radar Imaging
title_sort imaging plane calibration method for mimo radar imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929189/
https://www.ncbi.nlm.nih.gov/pubmed/31795432
http://dx.doi.org/10.3390/s19235261
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