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

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

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 successfu...

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Hauptverfasser: Karlsen, B., Larsen, J., Sorensen, H.B.D., Jakobsen, K.B.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Antenna measurements
Clutter
Ground penetrating radar
Independent component analysis
Landmine detection
Principal component analysis
Radar detection
Radar scattering
Reflection
Soil measurements
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/SSP.2001.955243