TY - GEN
T1 - A modified algorithm for accurate GPR wave velocity estimation with common offset setting antenna
AU - Xie, Fei
AU - Sham, Janet Fung Chu
AU - Lai, Wallace Wai Lok
AU - Dérobert, Xavier
PY - 2018/8/20
Y1 - 2018/8/20
N2 - Accurate wave velocity estimation is an important part to determine the quality and reliability of GPR survey results, such as positioning of underground utility and characterization of materials. An algorithm was proposed to estimate the velocity accurately by modeling the GPR signal travel path. Both the effects of factors of antenna separation and radius of cylindrical target were taken into account. This model helped to establish a nonlinear relationship among the parameters of horizontal displacement of antenna, GPR signal travel time, wave propagation velocity. Levenberg-Marquardt iteration method was used to solve the non-linear least square fitting. Validation experiments were conducted in lab environment. The reflection data of an Y25 steel bar in air at depth 0.2m, 0.3m, 0.4m and 0.5m were extracted to test the algorithm. Errors of the estimated velocities is around 2% to 3% which is quite small and acceptable in reality. It is believed that this algorithm is qualified for future accurate GPR positioning survey and condition survey.
AB - Accurate wave velocity estimation is an important part to determine the quality and reliability of GPR survey results, such as positioning of underground utility and characterization of materials. An algorithm was proposed to estimate the velocity accurately by modeling the GPR signal travel path. Both the effects of factors of antenna separation and radius of cylindrical target were taken into account. This model helped to establish a nonlinear relationship among the parameters of horizontal displacement of antenna, GPR signal travel time, wave propagation velocity. Levenberg-Marquardt iteration method was used to solve the non-linear least square fitting. Validation experiments were conducted in lab environment. The reflection data of an Y25 steel bar in air at depth 0.2m, 0.3m, 0.4m and 0.5m were extracted to test the algorithm. Errors of the estimated velocities is around 2% to 3% which is quite small and acceptable in reality. It is believed that this algorithm is qualified for future accurate GPR positioning survey and condition survey.
KW - accuracy
KW - algorithm
KW - GPR
KW - velocity estimation
UR - http://www.scopus.com/inward/record.url?scp=85053428328&partnerID=8YFLogxK
U2 - 10.1109/ICGPR.2018.8441684
DO - 10.1109/ICGPR.2018.8441684
M3 - Conference article published in proceeding or book
AN - SCOPUS:85053428328
SN - 9781538657775
T3 - 2018 17th International Conference on Ground Penetrating Radar, GPR 2018
BT - 2018 17th International Conference on Ground Penetrating Radar, GPR 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th International Conference on Ground Penetrating Radar, GPR 2018
Y2 - 18 June 2018 through 21 June 2018
ER -