Investigation of Simulated Ground Penetrating Radar Data for Buried Objects Using Quadratic Time-Frequency Transformations

Sub-surface sensing is a challenging area of research that highly benefits from the use of ultra-wideband ground penetrating radar (GPR) technology. Detection and classification of buried objects with reduced false alarm rates is still open to improvements. Use of joint temporal and spectral target features obtained from electromagnetic GPR signals using time-frequency representation (TFR) methods is highly promising because TFRs provide detailed information about the energy distribution of GPR signals over the two-dimensional domain of time and frequency. In-1 this study, single-channel down-looking GPR data are simulated for spherical targets composed of different material contents. Following the removal of dominating ground reflections, energy distribution signatures of the A-scan GPR signals of different targets are investigated using the Wigner-Ville Distribution and Page Distribution type quadratic TFRs.