Parameter Estimation of Layered Media Based on GPR Time-Frequency Spectrum Inversion

Yixuan Li; Haoran Sun; Peng Yin; Renjie Liu; Tian Lan; Xiaopeng Yang

doi:10.1109/Radar53847.2021.10028272

Parameter Estimation of Layered Media Based on GPR Time-Frequency Spectrum Inversion

Yixuan Li, Haoran Sun, Peng Yin, Renjie Liu, Tian Lan, Xiaopeng Yang

School of Information and Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Conventional ground-penetrating radar (GPR) has limitations in estimating the dielectric properties of individual layers of multi-layer media. In this work, we propose a new inversion method based on the time-frequency spectrum to address this problem. First, the time-domain reflected signal is reconstructed using the generalized reflection coefficient. Then, the actual reflected signal is analyzed in the time-frequency domain by using the wavelet transform, and the reflection time delays of the layered interfaces are determined. Finally, an improved cost function is optimized by using the genetic algorithm (GA) to obtain the inversion parameters. The accuracy and anti-noise capability of the method is validated by the simulation data generated using gprMax software.

Original language	English
Title of host publication	2021 CIE International Conference on Radar, Radar 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2277-2281
Number of pages	5
ISBN (Electronic)	9781665498142
DOIs	https://doi.org/10.1109/Radar53847.2021.10028272
Publication status	Published - 2021
Event	2021 CIE International Conference on Radar, Radar 2021 - Haikou, Hainan, China Duration: 15 Dec 2021 → 19 Dec 2021

Publication series

Name	Proceedings of the IEEE Radar Conference
Volume	2021-December
ISSN (Print)	1097-5764
ISSN (Electronic)	2375-5318

Conference

Conference	2021 CIE International Conference on Radar, Radar 2021
Country/Territory	China
City	Haikou, Hainan
Period	15/12/21 → 19/12/21

Keywords

GPR
Time-Frequency Spectrum Inversion(TFSI)
generalized reflection coefficient
genetic algorithm

Access to Document

10.1109/Radar53847.2021.10028272

Cite this

Li, Y., Sun, H., Yin, P., Liu, R., Lan, T., & Yang, X. (2021). Parameter Estimation of Layered Media Based on GPR Time-Frequency Spectrum Inversion. In 2021 CIE International Conference on Radar, Radar 2021 (pp. 2277-2281). (Proceedings of the IEEE Radar Conference; Vol. 2021-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/Radar53847.2021.10028272

@inproceedings{5fb1c3294e6040c5a2ff53bd466aeceb,

title = "Parameter Estimation of Layered Media Based on GPR Time-Frequency Spectrum Inversion",

abstract = "Conventional ground-penetrating radar (GPR) has limitations in estimating the dielectric properties of individual layers of multi-layer media. In this work, we propose a new inversion method based on the time-frequency spectrum to address this problem. First, the time-domain reflected signal is reconstructed using the generalized reflection coefficient. Then, the actual reflected signal is analyzed in the time-frequency domain by using the wavelet transform, and the reflection time delays of the layered interfaces are determined. Finally, an improved cost function is optimized by using the genetic algorithm (GA) to obtain the inversion parameters. The accuracy and anti-noise capability of the method is validated by the simulation data generated using gprMax software.",

keywords = "GPR, Time-Frequency Spectrum Inversion(TFSI), generalized reflection coefficient, genetic algorithm",

author = "Yixuan Li and Haoran Sun and Peng Yin and Renjie Liu and Tian Lan and Xiaopeng Yang",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 CIE International Conference on Radar, Radar 2021 ; Conference date: 15-12-2021 Through 19-12-2021",

year = "2021",

doi = "10.1109/Radar53847.2021.10028272",

language = "English",

series = "Proceedings of the IEEE Radar Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2277--2281",

booktitle = "2021 CIE International Conference on Radar, Radar 2021",

address = "United States",

}

Li, Y, Sun, H, Yin, P, Liu, R, Lan, T & Yang, X 2021, Parameter Estimation of Layered Media Based on GPR Time-Frequency Spectrum Inversion. in 2021 CIE International Conference on Radar, Radar 2021. Proceedings of the IEEE Radar Conference, vol. 2021-December, Institute of Electrical and Electronics Engineers Inc., pp. 2277-2281, 2021 CIE International Conference on Radar, Radar 2021, Haikou, Hainan, China, 15/12/21. https://doi.org/10.1109/Radar53847.2021.10028272

Parameter Estimation of Layered Media Based on GPR Time-Frequency Spectrum Inversion. / Li, Yixuan; Sun, Haoran; Yin, Peng et al.
2021 CIE International Conference on Radar, Radar 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 2277-2281 (Proceedings of the IEEE Radar Conference; Vol. 2021-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Parameter Estimation of Layered Media Based on GPR Time-Frequency Spectrum Inversion

AU - Li, Yixuan

AU - Sun, Haoran

AU - Yin, Peng

AU - Liu, Renjie

AU - Lan, Tian

AU - Yang, Xiaopeng

PY - 2021

Y1 - 2021

N2 - Conventional ground-penetrating radar (GPR) has limitations in estimating the dielectric properties of individual layers of multi-layer media. In this work, we propose a new inversion method based on the time-frequency spectrum to address this problem. First, the time-domain reflected signal is reconstructed using the generalized reflection coefficient. Then, the actual reflected signal is analyzed in the time-frequency domain by using the wavelet transform, and the reflection time delays of the layered interfaces are determined. Finally, an improved cost function is optimized by using the genetic algorithm (GA) to obtain the inversion parameters. The accuracy and anti-noise capability of the method is validated by the simulation data generated using gprMax software.

AB - Conventional ground-penetrating radar (GPR) has limitations in estimating the dielectric properties of individual layers of multi-layer media. In this work, we propose a new inversion method based on the time-frequency spectrum to address this problem. First, the time-domain reflected signal is reconstructed using the generalized reflection coefficient. Then, the actual reflected signal is analyzed in the time-frequency domain by using the wavelet transform, and the reflection time delays of the layered interfaces are determined. Finally, an improved cost function is optimized by using the genetic algorithm (GA) to obtain the inversion parameters. The accuracy and anti-noise capability of the method is validated by the simulation data generated using gprMax software.

KW - GPR

KW - Time-Frequency Spectrum Inversion(TFSI)

KW - generalized reflection coefficient

KW - genetic algorithm

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U2 - 10.1109/Radar53847.2021.10028272

DO - 10.1109/Radar53847.2021.10028272

M3 - Conference contribution

AN - SCOPUS:85181148683

T3 - Proceedings of the IEEE Radar Conference

SP - 2277

EP - 2281

BT - 2021 CIE International Conference on Radar, Radar 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 CIE International Conference on Radar, Radar 2021

Y2 - 15 December 2021 through 19 December 2021

ER -

Parameter Estimation of Layered Media Based on GPR Time-Frequency Spectrum Inversion

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