Computer Modeling of the Outgoing GPR Signal

Authors

  • Kazizat Iskakov Lev Nikolayevich Gumilev Eurasian National University
  • Dinara Tokseit Lev Nikolayevich Gumilev Eurasian National University
  • Samat Boranbaev Lev Nikolayevich Gumilev Eurasian National University
  • Iskander Akhmetov Institute of Information and Computational Technologies
  • Irina Gelbukh Instituto Politécnico Nacional

DOI:

https://doi.org/10.13053/cys-27-1-4543

Keywords:

GPR, mathematical model, Ricatti equations, inverse Fourier transform, experimental studies, radar trace spectrum, source spectrum

Abstract

This paper considers a mathematical model to reconstruct the shape and tabular value of the source based on real signal data from a Loza-V series GPR receiver. A geoelectric equation in a cylindrical coordinate system is chosen as the mathematical model. Experiments, using GPR, were conducted on a homogeneous area of clean river sand, with known geoelectric properties. In this case, the equation in question is reduced to the Riccati differential equation using a special function substitution. This allowed us to obtain an explicit expression linking the spectrum function describing the response of the medium (the real radar data) and the spectrum function describing the source behavior. From the found source spectra, using inverse Fourier transforms, the emitted source itself is reconstructed in tabular form. The methodology of source reconstruction was carried out at different locations of the receiver antenna from the source antenna. In practice, geophysicists are interested in the physical characteristics of heterogeneity depending on spatial coordinates. For numerical solution of inverse coefficient problem it is necessary to have tabular value of disturbance source and tabular values of reflected signals (GPR data) at measurement points. To solve these problems we have developed an algorithm of source reconstruction and, as a consequence, determination of media response corresponding to real GPR data at the points of observation. A series of numerical calculations demonstrating the effectiveness of the considered computer model for source recovery have been carried out.

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Published

2023-03-30

Issue

Vol. 27 No. 1 (2023): 27(1) 2023

Section

Articles

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