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Forward-Looking GPR Imaging with Near-Optimal 3-D Synthetic Array. / Wang, Jianping; Yarovoy, Alexander.

2019 13th European Conference on Antennas and Propagation (EuCAP). IEEE, 2019. p. 1-4 8739508.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Wang, J & Yarovoy, A 2019, Forward-Looking GPR Imaging with Near-Optimal 3-D Synthetic Array. in 2019 13th European Conference on Antennas and Propagation (EuCAP)., 8739508, IEEE, pp. 1-4, EuCAP 2019, Krakow, Poland, 31/03/19.

APA

Wang, J., & Yarovoy, A. (2019). Forward-Looking GPR Imaging with Near-Optimal 3-D Synthetic Array. In 2019 13th European Conference on Antennas and Propagation (EuCAP) (pp. 1-4). [8739508] IEEE.

Vancouver

Wang J, Yarovoy A. Forward-Looking GPR Imaging with Near-Optimal 3-D Synthetic Array. In 2019 13th European Conference on Antennas and Propagation (EuCAP). IEEE. 2019. p. 1-4. 8739508

Author

Wang, Jianping ; Yarovoy, Alexander. / Forward-Looking GPR Imaging with Near-Optimal 3-D Synthetic Array. 2019 13th European Conference on Antennas and Propagation (EuCAP). IEEE, 2019. pp. 1-4

BibTeX

@inproceedings{54e41f8c4ba6454d9f876471cb1b5a52,
title = "Forward-Looking GPR Imaging with Near-Optimal 3-D Synthetic Array",
abstract = "In this paper, we propose an Elevation-Radial scanned Synthetic Aperture Radar (E-RadSAR) for forward-looking ground penetrating radar (GPR) imaging. The E-RadSAR exploits the advantages of both RadSAR and Elevation-Circular SAR (E-CSAR) by utilizing the SAR technique in the cross- and down-range directions for signal acquisition. It could be implemented with fewer antennas compared to the RadSAR but provides higher spatial resolutions than that of E-CSAR. These features make it very attractive for space-and/or cost-constrained imaging applications, for instance, the GPR systems used for tunnel boring machines (TBM). However, the E-RadSAR synthesizes a three-dimensional (3-D) array by taking measurements in a volume, which makes the traditional sampling criterion no longer applicable for its sampling strategy design. To tackle 3-D (synthetic) array sampling/design, we formulate it as a sensor selection problem and suggest an efficient selection algorithm, i.e., modified clustered FrameSense (modified CFS). Then it is used for 3-D array sampling design. The imaging performances of the resultant near-optimal 3-D arrays are demonstrated through numerical simulations.",
keywords = "Forward-looking imaging, Ground penetrating radar, Sampling design, Three-dimensional (3-D) synthetic array",
author = "Jianping Wang and Alexander Yarovoy",
year = "2019",
month = "3",
day = "1",
language = "English",
isbn = "978-1-5386-8127-5",
pages = "1--4",
booktitle = "2019 13th European Conference on Antennas and Propagation (EuCAP)",
publisher = "IEEE",
address = "United States",

}

RIS

TY - GEN

T1 - Forward-Looking GPR Imaging with Near-Optimal 3-D Synthetic Array

AU - Wang, Jianping

AU - Yarovoy, Alexander

PY - 2019/3/1

Y1 - 2019/3/1

N2 - In this paper, we propose an Elevation-Radial scanned Synthetic Aperture Radar (E-RadSAR) for forward-looking ground penetrating radar (GPR) imaging. The E-RadSAR exploits the advantages of both RadSAR and Elevation-Circular SAR (E-CSAR) by utilizing the SAR technique in the cross- and down-range directions for signal acquisition. It could be implemented with fewer antennas compared to the RadSAR but provides higher spatial resolutions than that of E-CSAR. These features make it very attractive for space-and/or cost-constrained imaging applications, for instance, the GPR systems used for tunnel boring machines (TBM). However, the E-RadSAR synthesizes a three-dimensional (3-D) array by taking measurements in a volume, which makes the traditional sampling criterion no longer applicable for its sampling strategy design. To tackle 3-D (synthetic) array sampling/design, we formulate it as a sensor selection problem and suggest an efficient selection algorithm, i.e., modified clustered FrameSense (modified CFS). Then it is used for 3-D array sampling design. The imaging performances of the resultant near-optimal 3-D arrays are demonstrated through numerical simulations.

AB - In this paper, we propose an Elevation-Radial scanned Synthetic Aperture Radar (E-RadSAR) for forward-looking ground penetrating radar (GPR) imaging. The E-RadSAR exploits the advantages of both RadSAR and Elevation-Circular SAR (E-CSAR) by utilizing the SAR technique in the cross- and down-range directions for signal acquisition. It could be implemented with fewer antennas compared to the RadSAR but provides higher spatial resolutions than that of E-CSAR. These features make it very attractive for space-and/or cost-constrained imaging applications, for instance, the GPR systems used for tunnel boring machines (TBM). However, the E-RadSAR synthesizes a three-dimensional (3-D) array by taking measurements in a volume, which makes the traditional sampling criterion no longer applicable for its sampling strategy design. To tackle 3-D (synthetic) array sampling/design, we formulate it as a sensor selection problem and suggest an efficient selection algorithm, i.e., modified clustered FrameSense (modified CFS). Then it is used for 3-D array sampling design. The imaging performances of the resultant near-optimal 3-D arrays are demonstrated through numerical simulations.

KW - Forward-looking imaging

KW - Ground penetrating radar

KW - Sampling design

KW - Three-dimensional (3-D) synthetic array

UR - http://www.scopus.com/inward/record.url?scp=85068475247&partnerID=8YFLogxK

M3 - Conference contribution

SN - 978-1-5386-8127-5

SP - 1

EP - 4

BT - 2019 13th European Conference on Antennas and Propagation (EuCAP)

PB - IEEE

ER -

ID: 55511336