An Interferometric MIMO Radar for Bridge Monitoring

Pieraccini, Massimiliano; Miccinesi, Lapo

doi:10.1109/lgrs.2019.2900405

Cited by 39 publications

(21 citation statements)

References 19 publications

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“…It is an old model (Agilent N9925a) which is not designed for fast acquisition. In fact, the MIMO radar does not have mechanical moving parts, so it can acquire data much faster than synthetic aperture radar (SAR) based on the movement of the transceiver along a rail [17]. In addition, compared with the current research [9,37] which is limited to simulation and validation, we developed the actual radar system to carry out experimental verification, which is more conducive to illustrate the effectiveness of the proposed system design and imaging algorithm.…”

Section: Discussionmentioning

confidence: 99%

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Design and Analysis of a UWB MIMO Radar System with Miniaturized Vivaldi Antenna for Through-Wall Imaging

Zeng

Wang

et al. 2019

Remote Sensing

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The ultra-wideband (UWB) multi-input multi-output (MIMO) radar technique is playing a more and more important role in the application of through-wall detection because of its high resolution, lower antenna requirements, and efficient data capturing ability. This paper develops a novel UWB MIMO radar system using a stepped-frequency continuous-wave (SFCW) signal, which is designed to detect human targets behind the regular brick and concrete wall. In order to balance high range resolution and wall-penetration depth, a novel miniaturized Vivaldi antenna with desired bandwidth of 0.5–2.5 GHz was designed, simulated, manufactured, and successfully used in through-wall imaging. To suppress the artifacts in the focused image and reduce the computing complexity, the cross-correlation-based time domain back projection (CC-TDBP) algorithm was developed. In addition, a through-wall imaging model was established, based on which the effects of the wall on the refraction of electromagnetic (EM) waves and the reduction of velocity are compensated. Finally, different experiments were conducted for multiple stationary targets utilizing the designed radar system, and the improved BP-based algorithms are applied to focus the targets behind the wall more accurately. The reconstructed two-dimensional (2D) images illustrate that the designed MIMO radar system can successfully detect and image human targets in the air and behind the wall.

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Section: Discussionmentioning

confidence: 99%

“…In addition, the TWR of the SAR mode has the disadvantage of large scale and high cost [10][11][12][13]. In this case, the MIMO radar technology provides a new platform to solve the above problems [7][8][9][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of a UWB MIMO Radar System with Miniaturized Vivaldi Antenna for Through-Wall Imaging

Zeng

Wang

et al. 2019

Remote Sensing

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“…SAR interferometry technology can be used for all-weather situations and the high-precision monitoring of ground surface deformations across large areas [2]. Ground-based synthetic aperture radar interferometry (GB-InSAR) has been tested in various fields in recent years including the monitoring of landslides, open-pit mines, ground subsidence, architectural structures, bridges, sinkholes, and glacier displacements [3][4][5][6][7][8]. Despite these achievements, there are yet obstacles hindering the practical application of GB-InSAR deformation monitoring.…”

Section: Introductionmentioning

confidence: 99%

Terrain Point Cloud Assisted GB-InSAR Slope and Pavement Deformation Differentiate Method in an Open-Pit Mine

Zheng

Yang

et al. 2020

Sensors

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Ground-based synthetic aperture radar interferometry (GB-InSAR) is a valuable tool for deformation monitoring. The 2D interferograms obtained by GB-InSAR can be integrated with a 3D terrain model to visually and accurately locate deformed areas. The process has been preliminarily realized by geometric mapping assisted by terrestrial laser scanning (TLS). However, due to the line-of-sight (LOS) deformation monitoring, shadow and layover often occur in topographically rugged areas, which makes it difficult to distinguish the deformed points on the slope between the ones on the pavement. The extant resampling and interpolation method, which is designed for solving the scale difference between the point cloud and radar pixels, does not consider the local scattering characteristics difference of slope. The scattering difference information of road surface and slope surface in the terrain model is deeply weakened. We propose a differentiated method with integrated GB-InSAR and terrain surface point cloud. Local geometric and scattering characteristics of the slope were extracted, which account for pavement and slope differentiating. The geometric model is based on a GB-InSAR system with linear repeated-pass and the topographic point cloud relative observation geometry. The scattering model is based on k-nearest neighbor (KNN) points in small patches varies as radar micro-wave incident angle changes. Simulation and a field experiment were conducted in an open-pit mine. The results show that the proposed method effectively distinguishes pavement and slope surface deformation and the abnormal area boundary is partially relieved.

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“…Compared to spaceborne/air-borne SAR, it can continuously monitor the scene of interest with a much shorter revisiting period (from several seconds to tens of minutes). Besides, its data acquisition rate can be further increased by using one-dimensional (1D) or two-dimensional (2D) multiple input multiple output (MIMO) array, which has drawn attention in the last decade [9][10][11][12][13]. Moreover, GB-SAR can easily obtain higher system flexibility.…”

Section: Introductionmentioning

confidence: 99%

Passive Bistatic Ground-Based Synthetic Aperture Radar: Concept, System, and Experiment Results

et al. 2019

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A passive bistatic ground-based synthetic aperture radar (PB-GB-SAR) system without a dedicated transmitter has been developed by using commercial-off-the-shelf (COTS) hardware for local-area high-resolution imaging and displacement measurement purposes. Different from the frequency-modulated or frequency-stepped continuous wave signal commonly used by GB-SAR, the continuous digital TV signal broadcast by a geostationary satellite has been adopted by PB-GB-SAR. In order to increase the coherence between the reference and surveillance channels, frequency and phase synchronization of multiple low noise blocks (LNBs) has been conducted. Then, the back-projection algorithm (BPA) and the range migration algorithm (RMA) have been modified for PB-GB-SAR to get the focused SAR image. Field experiments have been carried out to validate the designed PB-GB-SAR system and the proposed methods. It has been found that different targets within 100 m (like the fence, light pole, tree, and car) can be imaged by the PB-GB-SAR system. With a metallic plate moved on a positioner, it has been observed that the displacement of the target can be estimated by PB-GB-SAR with submillimeter accuracy.

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An Interferometric MIMO Radar for Bridge Monitoring

Cited by 39 publications

References 19 publications

Design and Analysis of a UWB MIMO Radar System with Miniaturized Vivaldi Antenna for Through-Wall Imaging

Design and Analysis of a UWB MIMO Radar System with Miniaturized Vivaldi Antenna for Through-Wall Imaging

Terrain Point Cloud Assisted GB-InSAR Slope and Pavement Deformation Differentiate Method in an Open-Pit Mine

Passive Bistatic Ground-Based Synthetic Aperture Radar: Concept, System, and Experiment Results

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