DocumentCode :
168895
Title :
Time dewarping to reduce nonlinear sampling effects of GPR
Author :
Strange, A.D. ; Malos, J.T. ; Ralston, J.C.
Author_Institution :
Earth Sci. & Resource Eng., Min. Technol. Res. Group, CSIRO, Pullenvale, QLD, Australia
fYear :
2014
fDate :
June 30 2014-July 4 2014
Firstpage :
679
Lastpage :
682
Abstract :
The performance of ground penetrating radar (GPR) for subsurface target depth measurement can be directly related to the ability to accurately measure the signal time-of-flight. For impulse GPR systems that utilize the successive sampling technique to acquire radar data, the presence of deterministic timing jitter in the sampling electronics will warp traces along the time axis in a nonlinear manner. Not only does this warping negatively affect subsurface target depth measurements, but it can also reduce the performance of more sophisticated signal processing methods, such as inversion, that rely on accurate wavelet shape. This paper presents an algorithm that can be used to reverse the effects of nonlinear sampling by dewarping the time axis of the GPR data. The algorithm has been tested with a GPR system that exhibits clear symptoms of nonlinear sampling characteristics. The results show that the nonlinear timing effects in GPR data due to deterministic timing jitter can be significantly minimized using this method.
Keywords :
jitter; radar signal processing; signal sampling; spatial variables measurement; GPR; ground penetrating radar; nonlinear sampling effects; signal processing; signal time-of-flight measurement; subsurface target depth measurement; successive sampling; time dewarping; timing jitter; Artificial neural networks; Estimation; Ground penetrating radar; Thickness measurement; Time measurement; Calibration; nonlinear sampling; timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ground Penetrating Radar (GPR), 2014 15th International Conference on
Conference_Location :
Brussels
Type :
conf
DOI :
10.1109/ICGPR.2014.6970512
Filename :
6970512
Link To Document :
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