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Robust Multi-Sensor Detection of Polymorphic NQR Signals

Butt, Naveed LU and Jakobsson, Andreas LU orcid (2007) 41st Asilomar Conference on Signals, Systems and Computers, 2007 p.1389-1393
Abstract
Nuclear quadrupole resonance (NQR) is a radio frequency (RF) technique, able to distinguish between polymorphic forms of compounds containing quadrupolar nuclei, a requirement fulfilled by many high explosives and narcotics. To alleviate the problems of low signal to noise ratio and strong RF interference in NQR detection, various multi-sensor NQR signal detection algorithms have recently been proposed. These algorithms, however, assume the presence of a single polymorph with its associated amplitudes known to within a scaling, and any error in this a priori information will lead to performance degradation. In this paper, we develop a robust multi-sensor hybrid algorithm able to process NQR signals from multiple polymorphs while allowing... (More)
Nuclear quadrupole resonance (NQR) is a radio frequency (RF) technique, able to distinguish between polymorphic forms of compounds containing quadrupolar nuclei, a requirement fulfilled by many high explosives and narcotics. To alleviate the problems of low signal to noise ratio and strong RF interference in NQR detection, various multi-sensor NQR signal detection algorithms have recently been proposed. These algorithms, however, assume the presence of a single polymorph with its associated amplitudes known to within a scaling, and any error in this a priori information will lead to performance degradation. In this paper, we develop a robust multi-sensor hybrid algorithm able to process NQR signals from multiple polymorphs while allowing the associated amplitudes to vary within an uncertainty hyper-sphere. Numerical investigations indicate that the proposed algorithm provides significant performance gains as compared to existing algorithms when there are multiple polymorphs present and/or when uncertainties in the amplitudes exist. (Less)
Please use this url to cite or link to this publication:
author
and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
robust multi-sensor detection, signal detection, sensor fusion, nuclear quadrupole resonance, noise, polymorphic NQR signals, noise ratio, radio frequency
host publication
2007 41st Asilomar Conference on Signals, Systems and Computers
pages
1389 - 1393
conference name
41st Asilomar Conference on Signals, Systems and Computers, 2007
conference location
Pacific Grove, CA, United States
conference dates
2007-11-04 - 2007-11-07
ISBN
978-1-4244-2109-1
language
English
LU publication?
no
id
19872db3-0284-4cba-8269-9aa14068e889 (old id 1232171)
date added to LUP
2016-04-04 13:57:14
date last changed
2020-06-05 13:58:11
@inproceedings{19872db3-0284-4cba-8269-9aa14068e889,
  abstract     = {{Nuclear quadrupole resonance (NQR) is a radio frequency (RF) technique, able to distinguish between polymorphic forms of compounds containing quadrupolar nuclei, a requirement fulfilled by many high explosives and narcotics. To alleviate the problems of low signal to noise ratio and strong RF interference in NQR detection, various multi-sensor NQR signal detection algorithms have recently been proposed. These algorithms, however, assume the presence of a single polymorph with its associated amplitudes known to within a scaling, and any error in this a priori information will lead to performance degradation. In this paper, we develop a robust multi-sensor hybrid algorithm able to process NQR signals from multiple polymorphs while allowing the associated amplitudes to vary within an uncertainty hyper-sphere. Numerical investigations indicate that the proposed algorithm provides significant performance gains as compared to existing algorithms when there are multiple polymorphs present and/or when uncertainties in the amplitudes exist.}},
  author       = {{Butt, Naveed and Jakobsson, Andreas}},
  booktitle    = {{2007 41st Asilomar Conference on Signals, Systems and Computers}},
  isbn         = {{978-1-4244-2109-1}},
  keywords     = {{robust multi-sensor detection; signal detection; sensor fusion; nuclear quadrupole resonance; noise; polymorphic NQR signals; noise ratio; radio frequency}},
  language     = {{eng}},
  pages        = {{1389--1393}},
  title        = {{Robust Multi-Sensor Detection of Polymorphic NQR Signals}},
  year         = {{2007}},
}