Signal processing for extraction of target response from distorted GPR data

Two kinds of signal processing techniques for ground penetrating radar (GPR) are applied to measured GPR data in order to improve performance of target identification. One is the method for removing strong ground clutter that covers a weak target response in time domain, and the other is the calibration procedure of GPR response for removing undesirable waveform distortion that is caused by frequency characteristics of antennas. Application result demonstrates that the signal processing techniques employed here give good performance and are effective for extraction of target response from measured GPR data.