A novel signal processing technique for clutter reduction in CPR measurements of small, shallow land mines

In this paper, a signal processing technique is developed to reduce clutter due to ground bounce in ground penetrating radar (GPR) measurements. This technique is especially useful when a GPR is used to detect subsurface anti personnel mines, The GPR clutter is modeled using a simple parametric model . Buried mine and clutter contributions are separated through a pair of cou pled iterative procedures. The algorithm outperforms existing clutter reduc tion approaches and also yields target features that are useful for detecti on and identification of these mines. The proposed technique effectively re duces clutter resulting in a significant decrease in false alarm rates.