Comparison of Pca and Ica Based Clutter Reduction in Gpr Systems for Anti- Personal Landmine Detection
نویسندگان
چکیده
This paper presents statistical signal processing approaches for clutter reduction in Stepped-Frequency Ground Penetrating Radar (SF-GPR) data. In particular, we suggest clutter/signal separation techniques based on principal and independent component analysis (PCA/ICA). The approaches are successfully evaluated and compared on real SF-GPR time-series. Field-test data are acquired using a monostatic S-band rectangular waveguide antenna.
منابع مشابه
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