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Comparison of PCA and ICA based clutter reduction in GPR systems for anti-personal landmine detection

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4 Author(s)
Karlsen, B. ; Orsted DTU, Tech. Univ. Denmark, Lyngby, Denmark ; Larsen, J. ; Sorensen, H.B.D. ; Jakobsen, K.B.

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 a real SF-GPR time-series. Field-test data are acquired using a monostatic S-band rectangular waveguide antenna

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Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on

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