Author(s)

A. Krainyukov

Abstract

This work has focused on the development of an approach to the solution of the structural inverse problem of radar subsurface probing of roadway coverage. To solve the inverse problem in the frequency domain by the method of comparison, iterative procedure is used for the aim of function minimization. The direct problem of radar subsurface probing is based on the linear system response functions for the radar antenna system and on the equations for wave propagation in horizontally multilayered roadway coverage. The inverse problem has been investigated numerically. A genetic algorithm is used to investigate the global minimum of the aim function. Statistical assessment of the reconstruction accuracy under various conditions has been done. The aim function of the inverse problem of radar probing of roadway coverage was investigated. Keywords: radar probing measurements, reconstruction of the roadway coverage, inverse problem of radar probing, genetic algorithm. 1 Introduction Radar subsurface probing is widely used for performing scientific and practical research. It allows one to find the hidden objects. Roadway coverage is a complex multi-layered construction. It is well known that in different seasons of the year and in different environmental conditions the preservation of road cover depends not only on usage but also on different climate-related factors. As a result different processes take place within roadway coverage: the appearance of voids, changes in dampness of the soil, changes in the ability of the soil to filter water, etc. Timely identification of these processes allows one to make a timely

Keywords

radar probing measurements, reconstruction of the roadway coverage, inverse problem of radar probing, genetic algorithm