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Robust Multi-Sensor Detection of Polymorphic NQR Signals

Butt, Naveed LU and Jakobsson, Andreas LU (2007) 41st Asilomar Conference on Signals, Systems and Computers, 2007 In 2007 41st Asilomar Conference on Signals, Systems and Computers 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
in
2007 41st Asilomar Conference on Signals, Systems and Computers
pages
1389 - 1393
conference name
41st Asilomar Conference on Signals, Systems and Computers, 2007
ISBN
978-1-4244-2109-1
language
English
LU publication?
no
id
19872db3-0284-4cba-8269-9aa14068e889 (old id 1232171)
date added to LUP
2008-10-06 13:28:39
date last changed
2016-06-29 08:59:03
@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},
  keyword      = {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},
}