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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References
Somasundaram, S. D., Smith, J. A. S., Althoefer, K., and Seneviratne, L. D. (2004) Detection of Landmines Using Nuclear Quadrupole Resonance (NQR): An Overview. HUDEM Conference paper.
Garroway, A. N., Buess, M. L., Miller, J. B., Suits, B. H., Hibbs, A. D., Barrall, A. G., Matthews, R., and Burnett, L. J. (June 2001) Remote Sensing by Nuclear Quadrupole Resonance. IEEE Trans. Geoscience and Remote Sensing, vol. 39, no. 6, pp. 1108–1118.
Smith, J. A. S. (1995) Nitrogen-14 Quadrupole Resonance Detection of RDX and HMX Based Explosives. European Convention on Security and Detection, vol. 408, pp. 288–292.
Rowe, M. D. and Smith, J. A. S. (1996) Mine Detection by Nuclear Quadrupole Resonance. The Detection of Abandoned Landmines (IEE) Eurel, vol. 43, pp. 62–66.
Deas, R. M., Burch, I. A., and Port, D. M. (2002) The Detection of RDX and TNT Mine like Targets by Nuclear Quadruple Resonance. In Detection and Remediation Technologies for Mines and Minelike Targets, Proc. of SPIE, vol. 4742, pp. 482–489.
Stoica, P. and Moses, R. (1997) Introduction to Spectral Analysis. Prentice Hall, New Jersey.
Tan, Y., Tantum, S. L., and Collins, L. M. (2002) Landmine Detection with Nuclear Quadrupole Resonance. Geoscience and Remote Sensing Symposium, vol. 3, pp. 1575–1578.
Hayes, M. H. (1996) Statistical Digital Signal Processing and Modeling. John Wiley and Sons, Georgia.
Cervantes, H. R. and Rabban, S. R. (1999) Application of autoregressive spectral estimator in 2D NQR nutation spectroscopy. Solid State Communications, vol. 110, pp. 215–220.
Suits, B. H. and Garroway, A. N. (2003) Optimising surface coils and the self-shielded gradiometer. Journal of Applied Physics, vol. 94, pp. 4170–4178.
Jiang, Y., Stoica, P., and Li, J. (2004) Array Signal Processing in the Known Waveform and Steering Vector Case. IEEE Trans. Signal Processing, vol. 52, no. 1, pp. 23–35.
Malcolm-Lawes, D. J., Mallion, S., Rowe, M. D., and Smith, J. A. S. Time-Domain Data Analysis of NQR Response. Patent application number 9915842.0.
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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
Publisher Name: Springer, Berlin, Heidelberg
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