GPR Image Decluttering Using Matrix Pencil Based Trace Filtering Method

Ground Penetrating Radar (GPR) measurements can suffer from large amount of noise and clutter. Current methods, such as time gating and background averaging, mostly applied to remove reflections from air-ground interface do not perform well when removal of extraneous, very strong and non-uniform clutter signals originating from the objects in the surveyed area other than the target is needed. This work proposes new approach to this problem where single or group of GPR traces can be modelled and signal poles estimated using Matrix Pencil algorithm. In the second stage of the proposed method, modelled signals are reconstructed using the subset of selected poles where poles corresponding to clutter components of each trace or group of traces have been removed from the set. Simulated and experimental data collected under laboratory conditions are used to demonstrate the effectiveness of the proposed Matrix Pencil Filtering approach for these tasks. 