Deformation Monitoring Using Ground-Based Differential SAR Tomography

Chai, Huiming; Lv, Xiaolei; Xiao, Ping

doi:10.1109/lgrs.2019.2938233

Cited by 15 publications

(5 citation statements)

References 14 publications

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“…Diversity gain represents the improvement in the performance of the antenna in terms of its signal to noise ratio using diversity techniques. It can be calculated using (5). Fig.…”

Section: Zoomed Photomentioning

confidence: 99%

“…The development of devices that aid ground surface disaster prevention is in great demand worldwide, particularly in countries that experience unstable environmental changes such as earthquakes, rainfall, and severe weather. Ground-based synthetic aperture radar (GB-SAR) has been used effectively to measure ground surface displacements [1][2][3][4][5]. A conventional GB-SAR system comprises transmitting and receiving horn antennas sliding on a metal bar to cover the required synthetic aperture.…”

Section: Introductionmentioning

confidence: 99%

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Antenna Array for Ku-Band MIMO GB-SAR

El-Hameed

Suzuki

2021

IEEE Access

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A new multi-input multi-output (MIMO) antenna configuration with wideband and low sidelobe level (SLL) is introduced for ground-based synthetic aperture radar (GB-SAR). The proposed MIMO antenna has 15 transmitting and 16 receiving antenna arrays, arranged in two parallel straight lines, to synthesize a virtual array of 256 elements suitable for monitoring relatively large areas. The inter-element spaces are optimized to λ between transmitting elements and 4λ between receiving elements, to realize both low mutual coupling and an inferior SLL of lower than-37 dB for the overall MIMO antenna. The MIMO antenna element has eight rectangular patch linear arrays working at 17.1 GHz. A traveling wave-feeding network with center excitation is used to feed each element, in order to reduce the SLL and achieve a wide bandwidth of more than 300 MHz. The antenna array shows a gain of 14.3 dBi and half-power beamwidths (HPBWs) of 10° and 105° in the elevation and azimuth planes, respectively. The performance of the proposed design satisfies the GB-SAR requirements, which are validated by fabrication and measurement.

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“…Diversity gain represents the improvement in the performance of the antenna in terms of its signal to noise ratio using diversity techniques. It can be calculated using (5). Fig.…”

Section: Zoomed Photomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Antenna Array for Ku-Band MIMO GB-SAR

El-Hameed

Suzuki

2021

IEEE Access

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“…In 2019, Shi et al introduced a new tomographic imaging technique that utilizes nonlocal sparsity in SAR data to reconstruct a 3-D image of the scene with improved accuracy and resolution [29]. In 2020, Chai et al proposed a D-TomoSAR processing framework using ground-based SAR, and achieved a promising deformation result by using a CS-based algorithm [30].…”

Section: Introductionmentioning

confidence: 99%

Research on 4-D Imaging of Holographic SAR Differential Tomography

Jin

Feng

et al. 2023

Remote Sensing

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Holographic synthetic aperture radar tomography (HoloSAR) combines circular synthetic aperture radar (CSAR) and SAR tomography (TomoSAR) to enable a 360° azimuth observation of the considered scene. This imaging mode achieves a high-resolution three-dimensional (3-D) reconstruction across a full 360°. To capture the deformation information of the observed target, this paper first explores the differential HoloSAR imaging mode, which combines the technologies of CSAR and differential TomoSAR (D-TomoSAR). Then, we propose an imaging method based on the orthogonal matching pursuit (OMP) algorithm and a support generalized likelihood ratio (Sup-GLRT), aiming to achieve high-precision multi-dimensional reconstruction of the surveillance area. In addition, a statistical outlier removal (SOR) point cloud filtering technique is applied to enhance the accuracy of the reconstructed point cloud. Finally, this paper presents the detection of vehicle changes in a parking lot based on the 3-D reconstructed results.

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“…In recent decades, the research on ground-based synthetic aperture radars (GB-SAR) in bridge detection has blossomed. The high accuracy measurement capability of GB-SAR makes it an effective technology for landslide and deformation monitoring [1][2][3][4][5][6]. For example, typical radar systems LISA [7,8] and Fast-SAR [9][10][11] have been proven effective in these fields.…”

Section: Introductionmentioning

confidence: 99%

A Novel GB-SAR System Based on TD-MIMO for High-Precision Bridge Vibration Monitoring

et al. 2022

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Ground-based synthetic aperture radar (GB-SAR) is a highly effective technique that is widely used in landslide and bridge deformation monitoring. GB-SAR based on multiple input multiple output (MIMO) technology can achieve high accuracy and real-time detection performance. In this paper, a novel method is proposed to design transmitting and receiving array elements, which increases the minimum spacing of the antenna by sacrificing several equivalent phase centers. In MIMO arrays, the minimum antenna spacing in the azimuth direction is doubled, which increases the variety of antenna options for this design. To improve the accuracy of the system, a new method is proposed to estimate channel phase errors, amplitude errors, and position errors. The position error is decomposed into three directions with one compensated by the phase error and two estimated by the strong point. Finally, we validate the accuracy of the system and our error estimation method through simulations and experiments. The results prove that the GB-SAR system performs well in bridge deformation and vibration monitoring with the proposed method.

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Deformation Monitoring Using Ground-Based Differential SAR Tomography

Cited by 15 publications

References 14 publications

Antenna Array for Ku-Band MIMO GB-SAR

Antenna Array for Ku-Band MIMO GB-SAR

Research on 4-D Imaging of Holographic SAR Differential Tomography

A Novel GB-SAR System Based on TD-MIMO for High-Precision Bridge Vibration Monitoring

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