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Analysis of nuclear quadrupole resonance signals from mixtures

Somasundaram, Samuel D.; Jakobsson, Andreas LU and Smith, John A. S. (2008) In Signal Processing 88(1). p.146-157
Abstract
Nuclear quadrupole resonance (NQR) is a solid-state radio frequency (RF) technique, able to detect and identify compounds containing quadrupolar nuclei, including many high explosives, narcotics and pharmaceutical compounds. In addition to being able to identify entirely different compounds, the technique is also able to distinguish between different polymorphic forms of the same compound. Analysing the signals from mixtures, either of different compounds or of polymorphs, is important in several applications. Being able to exploit the signals from the different components of a mixture is important in the detection of explosives, whilst quantification of such components is important in several pharmaceutical applications. In this paper, we... (More)
Nuclear quadrupole resonance (NQR) is a solid-state radio frequency (RF) technique, able to detect and identify compounds containing quadrupolar nuclei, including many high explosives, narcotics and pharmaceutical compounds. In addition to being able to identify entirely different compounds, the technique is also able to distinguish between different polymorphic forms of the same compound. Analysing the signals from mixtures, either of different compounds or of polymorphs, is important in several applications. Being able to exploit the signals from the different components of a mixture is important in the detection of explosives, whilst quantification of such components is important in several pharmaceutical applications. In this paper, we propose two hybrid detectors that can exploit the signals from multiple components, offering improved probability of detection, as compared to recently proposed detectors. The algorithms also provide estimates of the relative proportions of the components, as well as estimates of other important NQR signal parameters. The algorithms are evaluated on both real and simulated data. The former is measured from a sample of trinitrotoluene which contains at least two polymorphic forms with rather different NQR properties. (Less)
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author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Detection and estimation, Remote sensing, Nuclear quadrupole resonance, Explosives detection, Polymorph quantification
in
Signal Processing
volume
88
issue
1
pages
146 - 157
publisher
Elsevier
external identifiers
  • scopus:34548580349
ISSN
0165-1684
DOI
10.1016/j.sigpro.2007.07.009
language
English
LU publication?
no
id
5f769d59-be5a-4059-a5b5-461c5a1c45e9 (old id 1216183)
date added to LUP
2008-09-22 13:55:17
date last changed
2017-01-01 06:31:26
@article{5f769d59-be5a-4059-a5b5-461c5a1c45e9,
  abstract     = {Nuclear quadrupole resonance (NQR) is a solid-state radio frequency (RF) technique, able to detect and identify compounds containing quadrupolar nuclei, including many high explosives, narcotics and pharmaceutical compounds. In addition to being able to identify entirely different compounds, the technique is also able to distinguish between different polymorphic forms of the same compound. Analysing the signals from mixtures, either of different compounds or of polymorphs, is important in several applications. Being able to exploit the signals from the different components of a mixture is important in the detection of explosives, whilst quantification of such components is important in several pharmaceutical applications. In this paper, we propose two hybrid detectors that can exploit the signals from multiple components, offering improved probability of detection, as compared to recently proposed detectors. The algorithms also provide estimates of the relative proportions of the components, as well as estimates of other important NQR signal parameters. The algorithms are evaluated on both real and simulated data. The former is measured from a sample of trinitrotoluene which contains at least two polymorphic forms with rather different NQR properties.},
  author       = {Somasundaram, Samuel D. and Jakobsson, Andreas and Smith, John A. S.},
  issn         = {0165-1684},
  keyword      = {Detection and estimation,Remote sensing,Nuclear quadrupole resonance,Explosives detection,Polymorph quantification},
  language     = {eng},
  number       = {1},
  pages        = {146--157},
  publisher    = {Elsevier},
  series       = {Signal Processing},
  title        = {Analysis of nuclear quadrupole resonance signals from mixtures},
  url          = {http://dx.doi.org/10.1016/j.sigpro.2007.07.009},
  volume       = {88},
  year         = {2008},
}