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

Author

Karlsen, Brian ; Larsen, Jan ; Sorensen, Helge B D ; Jakobsen, Kaj B.

Author_Institution

Orsted DTU, Tech. Univ. Denmark, Lyngby, Denmark

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

146

Lastpage

149

Abstract

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

Keywords

buried object detection; interference suppression; principal component analysis; radar clutter; radar detection; radar imaging; remote sensing by radar; GPR; ICA; PCA; anti-personal landmine detection; clutter reduction; independent component analysis; monostatic S-band rectangular waveguide antenna; principal component analysis; radar images; statistical signal processing; stepped-frequency ground penetrating radar; Antenna measurements; Clutter; Ground penetrating radar; Independent component analysis; Landmine detection; Principal component analysis; Radar detection; Radar scattering; Reflection; Soil measurements;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Print_ISBN

0-7803-7011-2

Type

conf

DOI

10.1109/SSP.2001.955243

Filename

955243