Title :
Layered Media Q Estimation for GPR signal processing using the frequency shift method
Author :
Zhang, Lili ; Liu, Sixin ; Wu, Junjun
Author_Institution :
Coll. of Geo-Exploration Sci. & Technol., Jilin Univ., Changchun, China
Abstract :
Layered media attenuation algorithm using constant Q model for ground penetrating radar (GPR) signals processing is introduced in the paper. We can use different Q value to describe different layered media. Over the bandwidth of a GPR wavelet, the attenuation of electromagnetic waves in many geological materials is approximately linear with frequency. As a result, the change in shape of a radar pulse as it propagates through these materials can be well described using one parameter, Q, related to the slope of the linear region. Under the assumption of a frequency-independent Q model, we present a method for the estimation of layered media Q from GPR data based on a technique developed for seismic attenuation tomography using the frequency shift method, Q is computed from the downshift in the dominant frequency of the GPR signal with time. And the downshift is obtained by using the generalized S-transform. Tests on synthetic vertical radar profiling (VRP) data indicate that this method can be very effective at estimating layered media Q value of GPR signals.
Keywords :
ground penetrating radar; inhomogeneous media; radar signal processing; GPR signal processing; GPR wavelet; electromagnetic wave attenuation; frequency shift method; generalized S-transform; geological materials; ground penetrating radar signals processing; layered media Q estimation; layered media attenuation algorithm; synthetic vertical radar profiling; Attenuation; Estimation; Frequency estimation; Ground penetrating radar; Nonhomogeneous media; Shape; Time frequency analysis; Q model; frequency shift; generalized S-transform; layered media; vertical radar profiling(VRP);
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5623199