Title :
Signal processing techniques for landmine detection using impulse ground penetrating radar
Author :
Zoubir, Abdelhak M. ; Chant, Ian James ; Brown, Christopher L. ; Barkat, Braham ; Abeynayake, Canicious
Author_Institution :
Curtin Univ. of Technol., Perth, WA, Australia
fDate :
2/1/2002 12:00:00 AM
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
Keywords :
Kalman filters; buried object detection; military radar; radar applications; radar signal processing; Kalman filter based approach; UXO; buried object detection; computational burden; detection techniques; impulse ground penetrating radar; radar signal processing; signal processing techniques; Australia; Detectors; Dogs; Ground penetrating radar; Landmine detection; Neutrons; Nuclear magnetic resonance; Radar detection; Radar signal processing; Soil;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/7361.987060