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

被引：71

作者：

Karlsen, B ^{[1
]}

Larsen, J ^{[1
]}

Sorensen, HBD ^{[1
]}

Jakobsen, KB ^{[1
]}

机构：

[1] Tech Univ Denmark, Orsted DTU, DK-2800 Lyngby, Denmark

来源：

2001 IEEE WORKSHOP ON STATISTICAL SIGNAL PROCESSING PROCEEDINGS | 2001年

关键词：

D O I：

10.1109/SSP.2001.955243

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：146 / 149

页数：4

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