Reconstruction Of The Roadway Coverage
Parameters From Radar Probing Measurements
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
Related Book
Other papers in this volume
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