Signal processing techniques for landmine detection using impulse ground penetrating radar

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 Kalm...

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Bibliographic Details
Published inIEEE sensors journal Vol. 2; no. 1; pp. 41 - 51
Main Authors Zoubir, A.M., Chant, I.J., Brown, C.L., Barkat, B., Abeynayake, C.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2002
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Australia
Computation
Detectors
Dogs
Ground penetrating radar
Impulses
Kalman filters
Landmine detection
Neutrons
Nuclear magnetic resonance
Radar detection
Radar signal processing
Sensors
Signal processing
Soil
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1530-437X
1558-1748
DOI:10.1109/7361.987060