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Robust Multi-Sensor Detection of Polymorphic NQR Signals

Butt, Naveed LU and Jakobsson, Andreas LU (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)
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author
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
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
2019-03-08 02:33:41
@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},
  language     = {eng},
  pages        = {1389--1393},
  title        = {Robust Multi-Sensor Detection of Polymorphic NQR Signals},
  year         = {2007},
}