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

信号处理 Pub Date : 2001-08-06 DOI:10.1109/SSP.2001.955243

B. Karlsen, Jan Larsen, Helge B. D. Sørensen, K. Jakobsen

引用次数: 99

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.

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基于PCA和ICA的探地雷达杂波降噪比较

本文提出了一种统计信号处理方法，用于对步进频率探地雷达(SF-GPR)数据进行杂波抑制。特别是，我们建议基于主成分和独立成分分析(PCA/ICA)的杂波/信号分离技术。在一个真实的SF-GPR时间序列上成功地对这些方法进行了评估和比较。现场测试数据采集采用单稳态s波段矩形波导天线。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

信号处理

自引率

0.00%

发文量

5812

期刊介绍： Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.