Analysis of Superresolution Methods in the Application to the Subsurface Sounding Radar for Detecting Hidden Objects

Abstract

Adaptive methods have been developed for generating a radar image of a probed surface area. A block diagram of a subsurface sounding radar is described. The results of modeling and experimental studies are presented. Their use makes it possible to develop a subsurface sensing radar capable of effectively identifying hidden objects in concrete walls, as well as detecting cracks, voids and defects in the walls of buildings and structures, snow debris and avalanches, underground communications and organic bodies in the ground.

Keywords

• subsurface sounding radar
• detection of hidden objects
• radar image
• adaptive processing methods