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Robust Detection of Stochastic Nuclear Quadrupole Resonance Signals

Somasundaram, Samuel D. ; Jakobsson, Andreas LU orcid ; Rowe, Michael D. ; Smith, John A. S. ; Butt, Naveed LU and Althoefer, Kaspar (2008) In IEEE Transactions on Signal Processing 56(9). p.4221-4229
Abstract
Nuclear quadrupole resonance (NQR) is a solid-state radio frequency (RF) spectroscopic technique, allowing the detection of compounds containing quadrupolar nuclei, a requirement fulfilled by many high explosives and narcotics. The practical use of NQR is restricted by the inherently low signal-to-noise ratio (SNR) of the observed signals, a problem that is 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. In this paper, we exploit these samples... (More)
Nuclear quadrupole resonance (NQR) is a solid-state radio frequency (RF) spectroscopic technique, allowing the detection of compounds containing quadrupolar nuclei, a requirement fulfilled by many high explosives and narcotics. The practical use of NQR is restricted by the inherently low signal-to-noise ratio (SNR) of the observed signals, a problem that is 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. In this paper, we exploit these samples forming a matched subspace-type detector and a detector employing a prewhitening approach,, both of which are able to efficiently reduce the influence of RFI. Further, man), 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 detectors are evaluated on both simulated and measured trinitrotoluene (TNT) data. (Less)
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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
detection, estimation, quadrupole resonance (QR), robust methods, NOISE SPECTROSCOPY, BANDWIDTH EXTENSION, SUBSPACE DETECTORS, NQR SIGNALS, SUPPRESSION, EXCITATION
in
IEEE Transactions on Signal Processing
volume
56
issue
9
pages
4221 - 4229
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000258694600010
  • scopus:53249120597
ISSN
1053-587X
DOI
10.1109/TSP.2008.923809
language
English
LU publication?
yes
id
69a51286-26d4-4d17-bbb9-ed1efb7dc152 (old id 1216211)
date added to LUP
2016-04-04 09:22:18
date last changed
2022-01-29 17:33:04
@article{69a51286-26d4-4d17-bbb9-ed1efb7dc152,
  abstract     = {{Nuclear quadrupole resonance (NQR) is a solid-state radio frequency (RF) spectroscopic technique, allowing the detection of compounds containing quadrupolar nuclei, a requirement fulfilled by many high explosives and narcotics. The practical use of NQR is restricted by the inherently low signal-to-noise ratio (SNR) of the observed signals, a problem that is 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. In this paper, we exploit these samples forming a matched subspace-type detector and a detector employing a prewhitening approach,, both of which are able to efficiently reduce the influence of RFI. Further, man), 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 detectors are 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 and Althoefer, Kaspar}},
  issn         = {{1053-587X}},
  keywords     = {{detection; estimation; quadrupole resonance (QR); robust methods; NOISE SPECTROSCOPY; BANDWIDTH EXTENSION; SUBSPACE DETECTORS; NQR SIGNALS; SUPPRESSION; EXCITATION}},
  language     = {{eng}},
  number       = {{9}},
  pages        = {{4221--4229}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Signal Processing}},
  title        = {{Robust Detection of Stochastic Nuclear Quadrupole Resonance Signals}},
  url          = {{http://dx.doi.org/10.1109/TSP.2008.923809}},
  doi          = {{10.1109/TSP.2008.923809}},
  volume       = {{56}},
  year         = {{2008}},
}