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Frequency Selective Detection of Nuclear Quadrupole Resonance Signals

Jakobsson, Andreas LU ; Mossberg, Magnus; Rowe, Michael D. and Smith, John A. S. (2005) In IEEE Transactions on Geoscience and Remote Sensing 43(11). p.2659-2665
Abstract
Nuclear quadrupole resonance (NQR) offers an unequivocal method of detecting and identifying both hidden explosives, such as land mines, and a variety of narcotics. Unfortunately, the practical use of NQR is restricted by a low signal-to-noise ratio (SNR), and means to improve the SNR are vital to enable a rapid, reliable, and convenient system. In this paper, we introduce a frequency-selective approximate maximum-likelihood (FSAML) detector, operating on a subset of the available frequencies, making it robust to the typically present narrow-band interference. The method exploits the inherent temperature dependency of the NQR frequencies as a way to enhance the SNR. Numerical evaluations, using both simulated and real NQR data, indicate a... (More)
Nuclear quadrupole resonance (NQR) offers an unequivocal method of detecting and identifying both hidden explosives, such as land mines, and a variety of narcotics. Unfortunately, the practical use of NQR is restricted by a low signal-to-noise ratio (SNR), and means to improve the SNR are vital to enable a rapid, reliable, and convenient system. In this paper, we introduce a frequency-selective approximate maximum-likelihood (FSAML) detector, operating on a subset of the available frequencies, making it robust to the typically present narrow-band interference. The method exploits the inherent temperature dependency of the NQR frequencies as a way to enhance the SNR. Numerical evaluations, using both simulated and real NQR data, indicate a significant gain in probability of accurate detection as compared to a current state-of-the-art approach. (Less)
Please use this url to cite or link to this publication:
author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
MAGNETIC-RESONANCE, NOISE
in
IEEE Transactions on Geoscience and Remote Sensing
volume
43
issue
11
pages
2659 - 2665
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:27844444657
ISSN
0196-2892
DOI
10.1109/TGRS.2005.856633
language
English
LU publication?
no
id
e7ed772c-bec0-4a3b-b861-c8cc3a61e98f (old id 1216135)
alternative location
http://ieeexplore.ieee.org/iel5/36/32566/01522626.pdf?tp=&arnumber=1522626&isnumber=32566
date added to LUP
2008-09-29 11:33:46
date last changed
2017-07-23 04:36:37
@article{e7ed772c-bec0-4a3b-b861-c8cc3a61e98f,
  abstract     = {Nuclear quadrupole resonance (NQR) offers an unequivocal method of detecting and identifying both hidden explosives, such as land mines, and a variety of narcotics. Unfortunately, the practical use of NQR is restricted by a low signal-to-noise ratio (SNR), and means to improve the SNR are vital to enable a rapid, reliable, and convenient system. In this paper, we introduce a frequency-selective approximate maximum-likelihood (FSAML) detector, operating on a subset of the available frequencies, making it robust to the typically present narrow-band interference. The method exploits the inherent temperature dependency of the NQR frequencies as a way to enhance the SNR. Numerical evaluations, using both simulated and real NQR data, indicate a significant gain in probability of accurate detection as compared to a current state-of-the-art approach.},
  author       = {Jakobsson, Andreas and Mossberg, Magnus and Rowe, Michael D. and Smith, John A. S.},
  issn         = {0196-2892},
  keyword      = {MAGNETIC-RESONANCE,NOISE},
  language     = {eng},
  number       = {11},
  pages        = {2659--2665},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Geoscience and Remote Sensing},
  title        = {Frequency Selective Detection of Nuclear Quadrupole Resonance Signals},
  url          = {http://dx.doi.org/10.1109/TGRS.2005.856633},
  volume       = {43},
  year         = {2005},
}