New Results on Clutter Reduction and Parameter Estimation for Landmine Detection Using Gpr
نویسندگان
چکیده
One of the main problems with the interpretation of GPR data is the strong ground reflection, obscuring signals arriving from just underneath the surface. The strength of this reflection can be reduced by deconvolution. This technique is especially useful when GPR is used to detect buried landmines. Parametric and non parametric time variant estimators are used for clutter characterization. Wavelet decomposition/reconstruction for noise removal is then applied. The application of the proposed signal processing technique to GPR data yields a substantial enhancement of the target reflection as well as a good estimation of physical parameters such as propagation velocity and target position.
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