A Windowed Range Migration Imaging Algorithm for Ground Penetrating Radar Applications

Abstract

The article proposes a new imaging method for ground penetrating radar (GPR) nondestructive testing (DET). Traditional GPR range migration (RM) imaging algorithm regards all the data in GPR echo data as equally important. This assumption is always not in consistent with real GPR detection scenario and usually cannot obtain high quality imaging results. To improve the quality of GPR imaging results, a new windowed RM imaging algorithm is presented in this paper. The radar profile is processed by one-dimensional windowed Fourier transform. The central point of window function is determined by maximum intensity technique. By using windowed RM imaging algorithm, the clutter of GPR profile is suppressed and the imaging results quality is improved. The simulation of this algorithm is processed and experimental results validate the feasibility of this algorithm.