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

Jianping Wang; Alexander Yarovoy

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

Microwave Sensing, Signals & Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

82 Downloads (Pure)

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a three-dimensional (3-D) array by taking measurements in a volume, which makes the traditional sampling criterion no longer applicable for its sampling strategy design.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.

Original language	English
Title of host publication	13th European Conference on Antennas and Propagation, EuCAP 2019
Publisher	IEEE
Pages	1-4
Number of pages	4
ISBN (Electronic)	978-88-907018-8-7
ISBN (Print)	978-1-5386-8127-5
Publication status	Published - 1 Mar 2019
Event	EuCAP 2019: 13th European Conference on Antennas and Propagation - Krakow, Poland Duration: 31 Mar 2019 → 5 Apr 2019 Conference number: 13

Publication series

Name	13th European Conference on Antennas and Propagation, EuCAP 2019

Conference

Conference	EuCAP 2019
Abbreviated title	EuCAP
Country/Territory	Poland
City	Krakow
Period	31/03/19 → 5/04/19

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Forward-looking imaging
Ground penetrating radar
Sampling design
Three-dimensional (3-D) synthetic array

Access to Document

08739508Final published version, 3.83 MB

https://ieeexplore.ieee.org/document/8739508

Cite this

@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",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; EuCAP 2019 : 13th European Conference on Antennas and Propagation, EuCAP ; Conference date: 31-03-2019 Through 05-04-2019",

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isbn = "978-1-5386-8127-5",

series = "13th European Conference on Antennas and Propagation, EuCAP 2019",

publisher = "IEEE",

pages = "1--4",

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address = "United States",

}

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

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

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

AU - Wang, Jianping

AU - Yarovoy, Alexander

N1 - Conference code: 13

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

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

PB - IEEE

T2 - EuCAP 2019

Y2 - 31 March 2019 through 5 April 2019

ER -

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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