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Robust NQR Signal Detection Allowing for Amplitude Uncertainties

Somasundaram, Samuel D.; Jakobsson, Andreas LU and Gudmundson, Erik (2008) In IEEE Transactions on Signal Processing 56(3). p.887-894
Abstract
Nuclear quadrupole resonance (NQR) is a solid-state radio frequency spectroscopic technique that can be used to detect compounds which contain quadrupolar nuclei, a requirement fulfilled by many high explosives and narcotics. Unfortunately, the low signal-to-noise ratio (SNR) of the observed signals currently inhibits the widespread use of the technique, thus highlighting the need for intelligent processing algorithms. In earlier work, we proposed a set of maximum likelihood-based algorithms enabling detection of even very weak NQR signals. These algorithms are based on derived realistic NQR data models, assuming that the (complex) amplitudes of the NQR signal components are known to within a multiplicative constant. However, these... (More)
Nuclear quadrupole resonance (NQR) is a solid-state radio frequency spectroscopic technique that can be used to detect compounds which contain quadrupolar nuclei, a requirement fulfilled by many high explosives and narcotics. Unfortunately, the low signal-to-noise ratio (SNR) of the observed signals currently inhibits the widespread use of the technique, thus highlighting the need for intelligent processing algorithms. In earlier work, we proposed a set of maximum likelihood-based algorithms enabling detection of even very weak NQR signals. These algorithms are based on derived realistic NQR data models, assuming that the (complex) amplitudes of the NQR signal components are known to within a multiplicative constant. However, these amplitudes, which are obtained from experimental measurements, are typically prone to some level of uncertainty. For such cases, these algorithms will experience a loss in performance. Herein, we develop a set of robust algorithms, allowing for uncertainties in the assumed amplitudes, showing that these offer a significant performance gain over the current state-of-the art techniques. (Less)
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author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
maximum likelihood detection, nuclear quadrupole resonance, radiofrequency spectroscopy, signal detection, robust nuclear quadrupole resonance signal detection, amplitude uncertainties, solid-state radio frequency spectroscopic technique, quadrupolar nuclei, intelligent processing algorithms, maximum likelihood-based algorithms, NQR data models
in
IEEE Transactions on Signal Processing
volume
56
issue
3
pages
887 - 894
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:40749099797
ISSN
1053-587X
DOI
10.1109/TSP.2007.909041
language
English
LU publication?
no
id
5ccb4e3f-d25a-4088-9a6b-79e6e7715583 (old id 1216194)
date added to LUP
2008-09-22 14:00:39
date last changed
2017-04-23 04:42:35
@article{5ccb4e3f-d25a-4088-9a6b-79e6e7715583,
  abstract     = {Nuclear quadrupole resonance (NQR) is a solid-state radio frequency spectroscopic technique that can be used to detect compounds which contain quadrupolar nuclei, a requirement fulfilled by many high explosives and narcotics. Unfortunately, the low signal-to-noise ratio (SNR) of the observed signals currently inhibits the widespread use of the technique, thus highlighting the need for intelligent processing algorithms. In earlier work, we proposed a set of maximum likelihood-based algorithms enabling detection of even very weak NQR signals. These algorithms are based on derived realistic NQR data models, assuming that the (complex) amplitudes of the NQR signal components are known to within a multiplicative constant. However, these amplitudes, which are obtained from experimental measurements, are typically prone to some level of uncertainty. For such cases, these algorithms will experience a loss in performance. Herein, we develop a set of robust algorithms, allowing for uncertainties in the assumed amplitudes, showing that these offer a significant performance gain over the current state-of-the art techniques.},
  author       = {Somasundaram, Samuel D. and Jakobsson, Andreas and Gudmundson, Erik},
  issn         = {1053-587X},
  keyword      = {maximum likelihood detection,nuclear quadrupole resonance,radiofrequency spectroscopy,signal detection,robust nuclear quadrupole resonance signal detection,amplitude uncertainties,solid-state radio frequency spectroscopic technique,quadrupolar nuclei,intelligent processing algorithms,maximum likelihood-based algorithms,NQR data models},
  language     = {eng},
  number       = {3},
  pages        = {887--894},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Signal Processing},
  title        = {Robust NQR Signal Detection Allowing for Amplitude Uncertainties},
  url          = {http://dx.doi.org/10.1109/TSP.2007.909041},
  volume       = {56},
  year         = {2008},
}