GPR signal processing with geography adaptive scanning using vector radar for antipersonal landmine detection

Toshio Fukada, Yasuhisa Hasegawa, Yasuhiro Kawai, Shinsuke Sato, Zakarya Zyada, Takayuki Matsuno

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Ground Penetrating Radar (GPR) is a promising sensor for landmine detection, however there are two major problems to overcome. One is the rough ground surface. The other problem is the distance between the antennas of GPR. It remains irremovable clutters on a sub-surface image output from GPR by first problem. Geography adaptive scanning is useful to image objects beneath rough ground surface. Second problem makes larger the nonlinearity of the relationship between the time for propagation and the depth of a buried object, imaging the small objects such as an antipersonnel landmine closer to the antennas. In this paper, we modify Kirchhoff migration so as to account for not only the variation of position of the sensor head, but also the antennas alignment of the vector radar. The validity of this method is discussed through application to the signals acquired in experiments.

Original languageEnglish
Pages (from-to)199-206
Number of pages8
JournalInternational Journal of Advanced Robotic Systems
Volume4
Issue number2
Publication statusPublished - Jun 1 2007
Externally publishedYes

Keywords

  • GPR
  • Information processing and signal analysis
  • Landmine detection
  • Migration

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Artificial Intelligence

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