Signal processing techniques for landmine detection using impulse ground penetrating radar

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

doi:10.1109/7361.987060

Signal processing techniques for landmine detection using impulse ground penetrating radar

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

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

120 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 language	British English
Pages (from-to)	41-51
Number of pages	11
Journal	IEEE Sensors Journal
Volume	2
Issue number	1
DOIs	https://doi.org/10.1109/7361.987060
State	Published - 2002

Keywords

Buried object detection
Kalman filtering
Radar signal processing

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10.1109/7361.987060

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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.",

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AU - Barkat, Braham

AU - Abeynayake, Canicious

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KW - Radar signal processing

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Signal processing techniques for landmine detection using impulse ground penetrating radar

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Keywords

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