Structural displacement monitoring using ground-based synthetic aperture radar

This study develops a ground-based synthetic aperture radar (GBSAR) imaging system and interferometric processing framework for structural health monitoring (SHM). Radar remote sensing for displacement monitoring plays a vital role in SHM. Radar sensors and, more specifically, GBSAR systems have gai...

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Main Authors: Benyamin Hosseiny, Jalal Amini, Hossein Aghababaei
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843222003326
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author Benyamin Hosseiny
Jalal Amini
Hossein Aghababaei
author_facet Benyamin Hosseiny
Jalal Amini
Hossein Aghababaei
author_sort Benyamin Hosseiny
collection DOAJ
description This study develops a ground-based synthetic aperture radar (GBSAR) imaging system and interferometric processing framework for structural health monitoring (SHM). Radar remote sensing for displacement monitoring plays a vital role in SHM. Radar sensors and, more specifically, GBSAR systems have gained more attention in recent studies due to their capability to overcome the limitations of other contact or non-contact SHM sensors. This paper proposes a three-dimensional SAR imaging system and advanced signal processing scheme to extract continuous (fast) displacement components, such as structural vibrations, and discontinuous (slow) displacements, such as subsidence or uplift, using SAR time-series datasets. Using controlled experiments, this study shows that the developed GBSAR can monitor sub-millimeter displacements with high spatial resolution and 0.02 mm precision in the LOS direction. Moreover, several simulations are carried out to evaluate the proposed displacement monitoring algorithms. Accordingly, the proposed continuous monitoring framework can measure fast LOS displacements with better than 0.03 mm precision by reducing the effects of radar movement, clutters, and disturbances. Also, evaluations on a simulated monitoring scene at 20 m from the GBSAR’s LOS show that the proposed discontinuous displacement monitoring algorithm can estimate 3D displacement vectors with sub-millimeter precision. The results show that the developed GBSAR can be used for repeat-pass LOS displacement monitoring and the proposed algorithms demonstrate high potential for measuring continuous sub-second LOS displacements and long-term 3D displacement vectors.
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spelling doaj.art-d0665772de21497d936c765d0cb85d892023-01-18T04:30:03ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322023-02-01116103144Structural displacement monitoring using ground-based synthetic aperture radarBenyamin Hosseiny0Jalal Amini1Hossein Aghababaei2School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, IranSchool of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran; Corresponding author.Department of Earth Observation Science (EOS), Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7514 AE Enschede, the NetherlandsThis study develops a ground-based synthetic aperture radar (GBSAR) imaging system and interferometric processing framework for structural health monitoring (SHM). Radar remote sensing for displacement monitoring plays a vital role in SHM. Radar sensors and, more specifically, GBSAR systems have gained more attention in recent studies due to their capability to overcome the limitations of other contact or non-contact SHM sensors. This paper proposes a three-dimensional SAR imaging system and advanced signal processing scheme to extract continuous (fast) displacement components, such as structural vibrations, and discontinuous (slow) displacements, such as subsidence or uplift, using SAR time-series datasets. Using controlled experiments, this study shows that the developed GBSAR can monitor sub-millimeter displacements with high spatial resolution and 0.02 mm precision in the LOS direction. Moreover, several simulations are carried out to evaluate the proposed displacement monitoring algorithms. Accordingly, the proposed continuous monitoring framework can measure fast LOS displacements with better than 0.03 mm precision by reducing the effects of radar movement, clutters, and disturbances. Also, evaluations on a simulated monitoring scene at 20 m from the GBSAR’s LOS show that the proposed discontinuous displacement monitoring algorithm can estimate 3D displacement vectors with sub-millimeter precision. The results show that the developed GBSAR can be used for repeat-pass LOS displacement monitoring and the proposed algorithms demonstrate high potential for measuring continuous sub-second LOS displacements and long-term 3D displacement vectors.http://www.sciencedirect.com/science/article/pii/S1569843222003326SAR interferometrymmWave radarMIMO radarStructural health monitoringVibration
spellingShingle Benyamin Hosseiny
Jalal Amini
Hossein Aghababaei
Structural displacement monitoring using ground-based synthetic aperture radar
International Journal of Applied Earth Observations and Geoinformation
SAR interferometry
mmWave radar
MIMO radar
Structural health monitoring
Vibration
title Structural displacement monitoring using ground-based synthetic aperture radar
title_full Structural displacement monitoring using ground-based synthetic aperture radar
title_fullStr Structural displacement monitoring using ground-based synthetic aperture radar
title_full_unstemmed Structural displacement monitoring using ground-based synthetic aperture radar
title_short Structural displacement monitoring using ground-based synthetic aperture radar
title_sort structural displacement monitoring using ground based synthetic aperture radar
topic SAR interferometry
mmWave radar
MIMO radar
Structural health monitoring
Vibration
url http://www.sciencedirect.com/science/article/pii/S1569843222003326
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AT jalalamini structuraldisplacementmonitoringusinggroundbasedsyntheticapertureradar
AT hosseinaghababaei structuraldisplacementmonitoringusinggroundbasedsyntheticapertureradar