Detecting Stochastic Nuclear Quadrupole Resonance Signals in the Presence of Strong Radio Frequency Interference
(2008) IEEE International Conference on Acoustics, Speech, and Signal Processing, 2008 p.3645-3648- Abstract
- Nuclear quadrupole resonance (NQR) is a radio frequency (RF) spectroscopic technique, allowing the detection of many high explosives and narcotics. In practice, NQR is restricted by the low signal-to-noise ratio of the observed signals, a problem further exacerbated by the presence of strong RF interference (RFI). The current literature focuses on the use of conventional, multiple-pulsed NQR (cNQR) to obtain signals. Here, we investigate an alternative method called stochastic NQR (sNQR), having many advantages over cNQR, one of which is the availability of signal-of-interest free samples. We exploit these samples forming a matched subspace-type detector, able to efficiently reduce the influence of RFI. Further, many of the ideas already... (More)
- Nuclear quadrupole resonance (NQR) is a radio frequency (RF) spectroscopic technique, allowing the detection of many high explosives and narcotics. In practice, NQR is restricted by the low signal-to-noise ratio of the observed signals, a problem further exacerbated by the presence of strong RF interference (RFI). The current literature focuses on the use of conventional, multiple-pulsed NQR (cNQR) to obtain signals. Here, we investigate an alternative method called stochastic NQR (sNQR), having many advantages over cNQR, one of which is the availability of signal-of-interest free samples. We exploit these samples forming a matched subspace-type detector, able to efficiently reduce the influence of RFI. Further, many of the ideas already developed for cNQR, including providing robustness to uncertainties in the assumed complex amplitudes and exploiting the temperature dependencies of the NQR spectral components, are recast for sNQR. The presented detector is evaluated on both simulated and measured trinitrotoluene (TNT) data. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1232167
- author
- Somasundaram, Samuel D. ; Jakobsson, Andreas LU ; Rowe, Michael D. ; Smith, John A. S. and Butt, Naveed LU
- publishing date
- 2008
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- detection, estimation, robust methods, nuclear quadrupole resonance (NQR)
- host publication
- IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12
- pages
- 3645 - 3648
- conference name
- IEEE International Conference on Acoustics, Speech, and Signal Processing, 2008
- conference location
- Las Vegas, NV, United States
- conference dates
- 2008-03-31 - 2008-04-04
- external identifiers
-
- scopus:51449104401
- ISSN
- 1520-6149
- ISBN
- 978-1-4244-1483-3
- language
- English
- LU publication?
- no
- id
- 049fcc2e-31c3-41d8-95bc-d76c0da6b0f2 (old id 1232167)
- date added to LUP
- 2016-04-04 09:45:30
- date last changed
- 2022-01-29 19:26:34
@inproceedings{049fcc2e-31c3-41d8-95bc-d76c0da6b0f2, abstract = {{Nuclear quadrupole resonance (NQR) is a radio frequency (RF) spectroscopic technique, allowing the detection of many high explosives and narcotics. In practice, NQR is restricted by the low signal-to-noise ratio of the observed signals, a problem further exacerbated by the presence of strong RF interference (RFI). The current literature focuses on the use of conventional, multiple-pulsed NQR (cNQR) to obtain signals. Here, we investigate an alternative method called stochastic NQR (sNQR), having many advantages over cNQR, one of which is the availability of signal-of-interest free samples. We exploit these samples forming a matched subspace-type detector, able to efficiently reduce the influence of RFI. Further, many of the ideas already developed for cNQR, including providing robustness to uncertainties in the assumed complex amplitudes and exploiting the temperature dependencies of the NQR spectral components, are recast for sNQR. The presented detector is evaluated on both simulated and measured trinitrotoluene (TNT) data.}}, author = {{Somasundaram, Samuel D. and Jakobsson, Andreas and Rowe, Michael D. and Smith, John A. S. and Butt, Naveed}}, booktitle = {{IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12}}, isbn = {{978-1-4244-1483-3}}, issn = {{1520-6149}}, keywords = {{detection; estimation; robust methods; nuclear quadrupole resonance (NQR)}}, language = {{eng}}, pages = {{3645--3648}}, title = {{Detecting Stochastic Nuclear Quadrupole Resonance Signals in the Presence of Strong Radio Frequency Interference}}, year = {{2008}}, }