Statistical signal processing for detection of buried landmines using quadrupole resonance

Feng Liu, Stacy Tantum, Leslie Collins, Lawrence Carin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations


Quadrupole resonance (QR) is a technique that discriminates mines from clutter by exploiting unique properties of explosives. However, explosives detection via QR is complicated by several issues. This article discusses several signal processing tools developed to further enhance the utility of QR explosives (mine) detection. In particular, with regard to the uncertainties concerning the background environment and sensor height, statistical signal processing strategies are explored to rigorously account for the inherent variability in these parameters.
Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation EngineersBellingham
Number of pages6
StatePublished - Jan 1 2000
Externally publishedYes


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