TY - JOUR
T1 - Multilayered Media Parameter Inversion Based on Reflected Trajectory Fitting Method
AU - Liu, Renjie
AU - Yang, Xiaopeng
AU - Li, Yixuan
AU - Sun, Haoran
AU - Qu, Xiaodong
AU - Lan, Tian
N1 - Publisher Copyright:
© 2004-2012 IEEE.
PY - 2023
Y1 - 2023
N2 - Media parameter inversion is an important issue in the field of electromagnetic (EM) propagation widely applied to multilayered scenarios in ground penetrating radar (GPR). However, due to unsolvable refraction points in multilayered conditions, computing burden in iterative optimization, and unreachable global optima in multiobjective optimization, the existing inversion methods cannot effectively realize the multilayered inversion. For the problem, demanding for high precision and high efficiency in multilayered applications, a multilayered media parameter inversion based on reflected trajectory fitting is proposed. The method adopts a layer-by-layer inversion mechanism with a novel refraction approximation. At each layer inversion, it utilizes the reflected travel equation of the first A-scan and the reflected trajectory fitting by least square linear regression to draw two relation curves whose intersection position determines layer thickness and permittivity. Finally, through simulations and experiments, the method shows its accuracy and effectiveness in the multilayered structure.
AB - Media parameter inversion is an important issue in the field of electromagnetic (EM) propagation widely applied to multilayered scenarios in ground penetrating radar (GPR). However, due to unsolvable refraction points in multilayered conditions, computing burden in iterative optimization, and unreachable global optima in multiobjective optimization, the existing inversion methods cannot effectively realize the multilayered inversion. For the problem, demanding for high precision and high efficiency in multilayered applications, a multilayered media parameter inversion based on reflected trajectory fitting is proposed. The method adopts a layer-by-layer inversion mechanism with a novel refraction approximation. At each layer inversion, it utilizes the reflected travel equation of the first A-scan and the reflected trajectory fitting by least square linear regression to draw two relation curves whose intersection position determines layer thickness and permittivity. Finally, through simulations and experiments, the method shows its accuracy and effectiveness in the multilayered structure.
KW - Common middle point (CMP)
KW - ground penetrating radar (GPR)
KW - least square linear regression
KW - multilayered media
KW - parameter inversion
UR - http://www.scopus.com/inward/record.url?scp=85167790519&partnerID=8YFLogxK
U2 - 10.1109/LGRS.2023.3303257
DO - 10.1109/LGRS.2023.3303257
M3 - Article
AN - SCOPUS:85167790519
SN - 1545-598X
VL - 20
JO - IEEE Geoscience and Remote Sensing Letters
JF - IEEE Geoscience and Remote Sensing Letters
M1 - 3506805
ER -