Evaluation of the viability and robustness of an iterative deconvolution approach for estimating the source wavelet during waveform inversion of crosshole ground‐penetrating radar data

Evaluation of the reconstruction limits of a frequency-independent crosshole georadar waveform inversion scheme in the presence of dispersion

“…(1) by averaging the first cycle of all waveforms recorded when the transmitter and receiver were horizontally aligned (de Hoop, 1995). Note however, that any source wavelet with comparable frequency content could be used (Belina et al, 2009b;Ernst et al, 2007b). Once the source wavelet has been estimated, the waveform inversion algorithm can be run until convergence is achieved.…”

“…This is required to generate predicted data corresponding to a particular set of model parameters, which are then compared with the observed data to determine how those parameters should be updated. To estimate the source wavelet in their crosshole georadar inversion scheme, Ernst et al (2007b) proposed a deconvolution-based approach that has proven to be remarkably accurate and robust for frequency-independent media (Belina et al, 2009b). Specifically, they obtain the source wavelet by deconvolving the impulse response of the Earth from the recorded georadar data.…”