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
N1 - Publisher Copyright:
© 2021 IEEE.
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
UR - http://www.scopus.com/inward/record.url?scp=85181148683&partnerID=8YFLogxK
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 -