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Robust NQR Signal Detection

Somasundaram, Samuel; Jakobsson, Andreas LU and Gudmundson, Erik (2007) IEEE International Conference on Acoustics, Speech and Signal Processing, 2007 In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing 3. p.733-736
Abstract
Nuclear quadrupole resonance (NQR) is a spectroscopic technique that can be used to detect many high explosives and narcotics. Unfortunately, the measured signals are weak, thereby inhibiting the widespread use of the technique. Current state-of-the-art detectors, which exploit realistic NQR data models, assume that the complex amplitudes of the NQR signal components are known, to within a multiplicative constant. However, these amplitudes are typically prone to some level of uncertainty, thus leading to performance loss in these algorithms. Herein, we develop a frequency selective algorithm, robust to uncertainties in the assumed amplitudes, that offers a significant performance gain over current state-of-the art techniques
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author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
robust methods, nuclear quadrupole resonance, Signal detection
in
2007 IEEE International Conference on Acoustics, Speech and Signal Processing
volume
3
pages
733 - 736
conference name
IEEE International Conference on Acoustics, Speech and Signal Processing, 2007
external identifiers
  • scopus:34547533421
ISSN
1520-6149
ISBN
1-4244-0727-3
DOI
10.1109/ICASSP.2007.366784
language
English
LU publication?
no
id
7d96b2a4-9a40-450c-aa6d-88ab515e0d3b (old id 1274682)
date added to LUP
2009-06-01 12:51:55
date last changed
2017-03-05 04:24:16
@inproceedings{7d96b2a4-9a40-450c-aa6d-88ab515e0d3b,
  abstract     = {Nuclear quadrupole resonance (NQR) is a spectroscopic technique that can be used to detect many high explosives and narcotics. Unfortunately, the measured signals are weak, thereby inhibiting the widespread use of the technique. Current state-of-the-art detectors, which exploit realistic NQR data models, assume that the complex amplitudes of the NQR signal components are known, to within a multiplicative constant. However, these amplitudes are typically prone to some level of uncertainty, thus leading to performance loss in these algorithms. Herein, we develop a frequency selective algorithm, robust to uncertainties in the assumed amplitudes, that offers a significant performance gain over current state-of-the art techniques},
  author       = {Somasundaram, Samuel and Jakobsson, Andreas and Gudmundson, Erik},
  booktitle    = {2007 IEEE International Conference on Acoustics, Speech and Signal Processing},
  isbn         = {1-4244-0727-3},
  issn         = {1520-6149},
  keyword      = {robust methods,nuclear quadrupole resonance,Signal detection},
  language     = {eng},
  pages        = {733--736},
  title        = {Robust NQR Signal Detection},
  url          = {http://dx.doi.org/10.1109/ICASSP.2007.366784},
  volume       = {3},
  year         = {2007},
}