Signal processing techniques for landmine detection using impulse ground penetrating radar

Abdelhak M. Zoubir, Ian James Chant, Christopher L. Brown, Braham Barkat, Canicious Abeynayake

Research output: Contribution to journalArticlepeer-review

116 Scopus citations

Abstract

Landmines are affecting the lives and livelihoods of millions of people around the world. A number of detection techniques, developed for use with impulse ground penetrating radar, are described, with emphasis on a Kalman filter based approach. Comparison of results from real data show that the Kalman filter algorithm provides the best detection performance, although its computational burden is also the highest.

Original languageBritish English
Pages (from-to)41-51
Number of pages11
JournalIEEE Sensors Journal
Volume2
Issue number1
DOIs
StatePublished - 2002

Keywords

  • Buried object detection
  • Kalman filtering
  • Radar signal processing

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