Scattering of electromagnetic waves by underground objects has received much attention in recent years. Sensing techniques have been developed to locate and identify various target objects under the ground, such as, cables for optical fiber communications, gas and water pipes, and ancient tombs for archaelogical evidence. However, the detection of buried objects with subsurface radar is a difficult problem, since the electromagnetic (EM) wave which propagates through the underground (a random medium), is scattered by objects, such as air gap, and rocks. Many unwanted scattered waves become the noise in the received signal and therefore signal processing of radar echo is very important for accurate sensing. Practically, some radar sensing systems which display EM wave scattering from underground objects are available. However, for archaelogical uses, higher resolution is needed.
Considering the use of subsurface radar from archaelogical prospective, the field of sensing is always rough. The EM pulse transmitted by subsurface radar is mainly scattered from the random rough surface. In this simulation, we analyzed the received wave using wavelet transform. Wavelet is a new and rapidly evolving field. Wavelet analysis gives the variability of the oscillated data by each scale. Application of wavelet to remote sensing is very important and a great deplorement is expected.