Robust NQR Signal Detection Allowing for Amplitude Uncertainties
Somasundaram, Samuel D. ; Jakobsson, Andreas LU
and Gudmundson, Erik
(2008)
In IEEE Transactions on Signal Processing
56(3).
p.887-894
- Abstract
- Nuclear quadrupole resonance (NQR) is a solid-state radio frequency spectroscopic technique that can be used to detect compounds which contain quadrupolar nuclei, a requirement fulfilled by many high explosives and narcotics. Unfortunately, the low signal-to-noise ratio (SNR) of the observed signals currently inhibits the widespread use of the technique, thus highlighting the need for intelligent processing algorithms. In earlier work, we proposed a set of maximum likelihood-based algorithms enabling detection of even very weak NQR signals. These algorithms are based on derived realistic NQR data models, assuming that the (complex) amplitudes of the NQR signal components are known to within a multiplicative constant. However, these... (More)
- Nuclear quadrupole resonance (NQR) is a solid-state radio frequency spectroscopic technique that can be used to detect compounds which contain quadrupolar nuclei, a requirement fulfilled by many high explosives and narcotics. Unfortunately, the low signal-to-noise ratio (SNR) of the observed signals currently inhibits the widespread use of the technique, thus highlighting the need for intelligent processing algorithms. In earlier work, we proposed a set of maximum likelihood-based algorithms enabling detection of even very weak NQR signals. These algorithms are based on derived realistic NQR data models, assuming that the (complex) amplitudes of the NQR signal components are known to within a multiplicative constant. However, these amplitudes, which are obtained from experimental measurements, are typically prone to some level of uncertainty. For such cases, these algorithms will experience a loss in performance. Herein, we develop a set of robust algorithms, allowing for uncertainties in the assumed amplitudes, showing that these offer a significant performance gain over the current state-of-the art techniques. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1216194
- author
- Somasundaram, Samuel D.
; Jakobsson, Andreas
LU
and Gudmundson, Erik
- publishing date
- 2008
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- maximum likelihood detection, nuclear quadrupole resonance, radiofrequency spectroscopy, signal detection, robust nuclear quadrupole resonance signal detection, amplitude uncertainties, solid-state radio frequency spectroscopic technique, quadrupolar nuclei, intelligent processing algorithms, maximum likelihood-based algorithms, NQR data models
- in
- IEEE Transactions on Signal Processing
- volume
- 56
- issue
- 3
- pages
- 887 - 894
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:40749099797
- ISSN
- 1053-587X
- DOI
- 10.1109/TSP.2007.909041
- language
- English
- LU publication?
- no
- id
- 5ccb4e3f-d25a-4088-9a6b-79e6e7715583 (old id 1216194)
- date added to LUP
- 2016-04-04 10:51:22
- date last changed
- 2022-02-28 18:58:24
@article{5ccb4e3f-d25a-4088-9a6b-79e6e7715583,
abstract = {{Nuclear quadrupole resonance (NQR) is a solid-state radio frequency spectroscopic technique that can be used to detect compounds which contain quadrupolar nuclei, a requirement fulfilled by many high explosives and narcotics. Unfortunately, the low signal-to-noise ratio (SNR) of the observed signals currently inhibits the widespread use of the technique, thus highlighting the need for intelligent processing algorithms. In earlier work, we proposed a set of maximum likelihood-based algorithms enabling detection of even very weak NQR signals. These algorithms are based on derived realistic NQR data models, assuming that the (complex) amplitudes of the NQR signal components are known to within a multiplicative constant. However, these amplitudes, which are obtained from experimental measurements, are typically prone to some level of uncertainty. For such cases, these algorithms will experience a loss in performance. Herein, we develop a set of robust algorithms, allowing for uncertainties in the assumed amplitudes, showing that these offer a significant performance gain over the current state-of-the art techniques.}},
author = {{Somasundaram, Samuel D. and Jakobsson, Andreas and Gudmundson, Erik}},
issn = {{1053-587X}},
keywords = {{maximum likelihood detection; nuclear quadrupole resonance; radiofrequency spectroscopy; signal detection; robust nuclear quadrupole resonance signal detection; amplitude uncertainties; solid-state radio frequency spectroscopic technique; quadrupolar nuclei; intelligent processing algorithms; maximum likelihood-based algorithms; NQR data models}},
language = {{eng}},
number = {{3}},
pages = {{887--894}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Transactions on Signal Processing}},
title = {{Robust NQR Signal Detection Allowing for Amplitude Uncertainties}},
url = {{http://dx.doi.org/10.1109/TSP.2007.909041}},
doi = {{10.1109/TSP.2007.909041}},
volume = {{56}},
year = {{2008}},
}