Robust Multi-Sensor Detection of Polymorphic NQR Signals
(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:
https://lup.lub.lu.se/record/1232171
- author
- Butt, Naveed LU and Jakobsson, Andreas LU
- publishing date
- 2007
- 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}}, }