Structural displacement monitoring using ground-based synthetic aperture radar

Hosseiny, Benyamin; Amini, Jalal; Aghababaei, Hossein

doi:10.1016/j.jag.2022.103144

Cited by 5 publications

(3 citation statements)

References 43 publications

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“…In the same coordinate system as the first experiment, this experiment involves a radar, an orbit, and two target points. Target one, P1, is located at (−2, 3), and target two, P2, is located at (2,4).…”

Section: Target To Target Interactionmentioning

confidence: 99%

“…Synthetic aperture radar (SAR), an advanced remote sensing technology, is renowned for its ability to generate high-resolution images and to operate in all weather and lighting conditions, including day and night [1][2][3]. These capabilities lead to the application of SAR in diverse fields such as earth sciences, agriculture, forestry, urban planning, environmental monitoring, and military reconnaissance [4,5].…”

Section: Introductionmentioning

confidence: 99%

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SAR Multi-Angle Observation Method for Multipath Suppression in Enclosed Spaces

Lin,

Zhao,

Wang

et al. 2024

Remote Sensing

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Synthetic aperture radar (SAR) is a powerful tool for detecting and imaging targets in enclosed environments, such as tunnels and underground garages. However, SAR performance is degraded by multipath effects, which occur when electromagnetic waves are reflected by obstacles, such as walls, and interfere with the direct signal. This results in the formation of multipath ghost images, which obscure the true target and reduce the image quality. To overcome this challenge, we propose a novel method based on multi-angle observation. This method exploits the fact that the position of ghost images changes depending on the angle of the radar, while the position of the true target remains stable. By collecting and processing multiple data sets from different angles, we can eliminate the ghost images and enhance the target image. In addition, we introduce a center vector distance algorithm to address the complexity and computational intensity of existing multipath suppression algorithms. This algorithm, which defines the primary direction of multi-angle vectors from stable scattering centers as the center vector, processes and synthesizes multiple data sets from multi-angle observations. It calculates the distance of pixel intensity sequences in the composite data image from the center vector. Pixels within a specified threshold are used for imaging, and the final result is obtained. Simulation experiments and real SAR data from underground garages confirm the effectiveness of this method in suppressing multipath ghost images.

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Section: Target To Target Interactionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

SAR Multi-Angle Observation Method for Multipath Suppression in Enclosed Spaces

Lin,

Zhao,

Wang

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…In fact, a higher operational frequency results in a more compact and lighter system and, as a result, simpler deployment [23]. However, these systems, due to their weak power, are suitable for monitoring a single object such as a building, bridge, or wind turbine [5,[29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Enabling High-Resolution Micro-Vibration Detection Using Ground-Based Synthetic Aperture Radar: A Case Study for Pipeline Monitoring

et al. 2023

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The wellbeing of pipelines is influenced by a range of factors, such as internal and external pressures, as well as deterioration over time due to issues like erosion and corrosion. It is thus essential to establish a reliable monitoring system that can precisely examine pipeline behavior over time in order to prevent potential damages. To this end, pipelines are inspected based on internal and external approaches. Radar, as a non-contact sensing system, can be a suitable choice for external pipeline inspection. Radar is capable of the transmission and receiving of thousands of signals in a second, which reconstructs the displacement signal and is used for a vibration analysis. Synthetic aperture radar (SAR) imaging adds cross-range resolution to radar signals. However, a data acquisition rate of longer than several seconds makes it unsuitable for sub-second vibration monitoring. This study aims to address this limitation by presenting a method for high-resolution vibration monitoring using ground-based SAR (GBSAR) signals. To this end, a signal processing method by modifying the radar’s signal model is presented, which allows for estimating scattering targets’ vibration parameters and angle of arrival with high resolution. The proposed method is validated with numerical simulation and a real case study comprising water pipelines. Moreover, various analyses are presented for the in-depth evaluation of the method’s performance in different situations. The results indicate that the proposed method can be effective in detecting pipeline vibration frequencies with micro-scale amplitudes while providing high spatial resolution for generating accurate vibration maps of pipelines. Also, the comparison with the radar observations shows a high degree of agreement between the frequency responses with the maximum error of 0.25 Hz in some rare instances.

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