Abstract
Nuclear quadrupole resonance (NQR) is a sensor technology that measures a signature unique to the explosive contained in the mine, thus providing a means of efficiently detecting landmines. Unfortunately, the measured signals are inherently weak and therefore detection times are currently too long (especially for TNT-based landmines) to implement in a man-portable detection system. However, the NQR hardware is light enough to be integrated into a robot based system. This paper investigates several power spectrum estimation algorithms applied to NQR signals in order to distinguish between data containing signals from explosive and data that does not.
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Somasundaram, S.D., Althoefer, K., Smith, J.A.S., Seneviratne, L.D. (2006). Detection of Landmines Using Nuclear Quadrupole Resonance (NQR): Signal Processing to Aid Classification. In: Tokhi, M.O., Virk, G.S., Hossain, M.A. (eds) Climbing and Walking Robots. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26415-9_100
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DOI: https://doi.org/10.1007/3-540-26415-9_100
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