Layered Media Parameter Estimation Based on Hyperbolic Fitting in GPR B-Scan

TY - JOUR

T1 - Layered Media Parameter Estimation Based on Hyperbolic Fitting in GPR B-Scan

AU - Lan, Tian

AU - Sun, Xitao

AU - Yang, Xiaopeng

AU - Gong, Junbo

AU - Hu, Xueyao

N1 - Publisher Copyright: © 2004-2012 IEEE.

PY - 2025

Y1 - 2025

N2 - Layered media parameter estimation is widely used in ground-penetrating radar (GPR) for layered scenarios. However, the current estimating methods face many challenges, including the limited applicability in scenarios without targets for A-scan-based and CMP-based methods, and the large estimation error in layered media with targets for B-scan-based method. To obtain accurate parameters for layered media in the presence of targets, a method for estimating layered media parameters based on hyperbolic fitting in GPR B-scan is proposed. The method uses geometric relationships and refractive point approximation formulas to efficiently determine the refractive point of media and can achieve an accurate estimation of the thickness and permittivity by nonlinear least-squares optimization method for hyperbolic constraint equations. The accuracy and effectiveness of the proposed method are verified through simulation and real experiments in layered structures.

AB - Layered media parameter estimation is widely used in ground-penetrating radar (GPR) for layered scenarios. However, the current estimating methods face many challenges, including the limited applicability in scenarios without targets for A-scan-based and CMP-based methods, and the large estimation error in layered media with targets for B-scan-based method. To obtain accurate parameters for layered media in the presence of targets, a method for estimating layered media parameters based on hyperbolic fitting in GPR B-scan is proposed. The method uses geometric relationships and refractive point approximation formulas to efficiently determine the refractive point of media and can achieve an accurate estimation of the thickness and permittivity by nonlinear least-squares optimization method for hyperbolic constraint equations. The accuracy and effectiveness of the proposed method are verified through simulation and real experiments in layered structures.

KW - Ground-penetrating radar (GPR)

KW - hyperbolic fitting

KW - layered media

KW - parameter estimation

UR - https://www.scopus.com/pages/publications/105003770875

U2 - 10.1109/LGRS.2025.3560177

DO - 10.1109/LGRS.2025.3560177

M3 - Article

AN - SCOPUS:105003770875

SN - 1545-598X

VL - 22

JO - IEEE Geoscience and Remote Sensing Letters

JF - IEEE Geoscience and Remote Sensing Letters

M1 - 7505305

ER -