Fuzzy logic methods in georadar applications

Abstract

A theoretical justification for the development of a scenario for the subsurface structure state estimation of a chalk quarry site based on the results of GPR sounding is proposed, which allows predicting its quality, namely, the degree of whiteness. The proposed scenario is based on the development of models and methods for identifying parameters of GPR signals, in particular, their phase-frequency spectra, which make it possible to establish causal relationships that affect the quality of decision making in the presence of a combination of interfering factors. In this paper, for the first time, data on GPR sounding of a chalk quarry were obtained, showing the presence of stable signs for the selection of chalk areas with increased whiteness. Such a feature is the phase fluctuations of the reflected signals obtained at the cross-section with respect to the radiated polarization of the received signals. This requires a special antenna, in which the radiation of signals is carried out on the main polarization, and the reception is orthogonal to the radiated one. To obtain a clear conclusion about the probability of attributing the chalk layer on the studied area of the chalk quarry to the categories of high, medium or ordinary whiteness, it is proposed to use an algorithm based on the theory of fuzzy logic.