TITLE: Comparison of PCA and ICA based Clutter Reduction in GPR Systems for Anti-Personal Landmine Detection

AUTHORS: Brian Karlsen(1), Jan Larsen(2), Helge B.D. Sørensen(1) and Kaj B. Jakobsen(1)

(1)Ørsted•DTU, Technical University of Denmark
Ørsteds Plads, Building 348, DK-2800 Kongens Lyngby, Denmark
Web: http://www.oersted.dtu.dk, Email: brk,hbs,kbj@oersted.dtu.dk
(2)Informatics and Mathematical Modelling, Building 321
Technical University of Denmark, DK-2800 Lyngby, Denmark
emails: jl@imm.dtu.dk
www: http://eivind.imm.dtu.dk


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.

To appear in Proc. of 11th IEEE Workshop on Statistical Signal Processing, Singapore, Aug. 6-8, 2001.