Mine detection using SF-GPR: a signal processing approach for resolution enhancement and clutter reduction

Brian Karlsen; Kaj Bjarne Jakobsen; Jan Larsen; Helge B.D. Sorensen

doi:10.1117/12.445535

18 October 2001 Mine detection using SF-GPR: a signal processing approach for resolution enhancement and clutter reduction

Brian Karlsen, Kaj Bjarne Jakobsen, Jan Larsen, Helge B.D. Sorensen

Author Affiliations +

Proceedings Volume 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI; (2001) https://doi.org/10.1117/12.445535
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

Proper clutter reduction is essential for Ground Penetrating Radar data since low signal-to-clutter ratio prevent correct detection of mine objects. A signal processing approach for resolution enhancement and clutter reduction used on Stepped-Frequency Ground Penetrating Radar (SF-GPR) data is presented, and the effects of combining clutter reduction with resolution enhancement are examined using simulated SF-GPR data examples. The resolution enhancement method is based on methods from optical signal processing and is largely carried out in the frequency domain to reduce the computational burden. The clutter reduction method is based on basis function decomposition of the SF-GPR time-series from which the clutter and the signal are separated.

Citation Download Citation

Brian Karlsen, Kaj Bjarne Jakobsen, Jan Larsen, and Helge B.D. Sorensen "Mine detection using SF-GPR: a signal processing approach for resolution enhancement and clutter reduction", Proc. SPIE 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI, (18 October 2001); https://doi.org/10.1117/12.445535

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