An Overview of NQR Signal Detection Algorithms
(2014) part 1. p.19-33- Abstract
- Nuclear quadrupole resonance (NQR) is a solid-state radio frequency
spectroscopic technique that can be used to detect the presence of quadrupolar nuclei, that are prevalent in many narcotics, drugs, and explosive materials. Similar to other modern spectroscopic techniques, such as nuclear magnetic resonance, and Raman spectroscopy, NQR also relies heavily on statistical signal processing
systems for decision making and information extraction. This chapter provides an overview of the current state-of-the-art algorithms for detection, estimation, and classification of NQR signals. More specifically, the problem of NQR-based detection of illicit materials is considered in detail. Several single- and multi-sensor... (More) - Nuclear quadrupole resonance (NQR) is a solid-state radio frequency
spectroscopic technique that can be used to detect the presence of quadrupolar nuclei, that are prevalent in many narcotics, drugs, and explosive materials. Similar to other modern spectroscopic techniques, such as nuclear magnetic resonance, and Raman spectroscopy, NQR also relies heavily on statistical signal processing
systems for decision making and information extraction. This chapter provides an overview of the current state-of-the-art algorithms for detection, estimation, and classification of NQR signals. More specifically, the problem of NQR-based detection of illicit materials is considered in detail. Several single- and multi-sensor algorithms
are reviewed that possess many features of practical importance, including (a) robustness to uncertainties in the assumed spectral amplitudes, (b) exploitation of the polymorphous nature of relevant compounds to improve detection, (c) ability to quantify mixtures, and (d) efficient estimation and cancellation of background noise and radio frequency interference. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4092849
- author
- Butt, Naveed LU ; Gudmundson, Erik LU and Jakobsson, Andreas LU
- organization
- publishing date
- 2014
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Magnetic Resonance Detection of Explosives and Illicit Materials
- volume
- part 1
- pages
- 19 - 33
- publisher
- Springer
- external identifiers
-
- scopus:84888352231
- ISBN
- 978-94-007-7265-6
- 978-94-007-7264-9 (Print)
- DOI
- 10.1007/978-94-007-7265-6_2
- language
- English
- LU publication?
- yes
- id
- f51b3ce0-f9ab-425c-a7c4-67e5d09d9067 (old id 4092849)
- date added to LUP
- 2016-04-04 10:27:57
- date last changed
- 2022-03-15 21:44:06
@inbook{f51b3ce0-f9ab-425c-a7c4-67e5d09d9067, abstract = {{Nuclear quadrupole resonance (NQR) is a solid-state radio frequency<br/><br> spectroscopic technique that can be used to detect the presence of quadrupolar nuclei, that are prevalent in many narcotics, drugs, and explosive materials. Similar to other modern spectroscopic techniques, such as nuclear magnetic resonance, and Raman spectroscopy, NQR also relies heavily on statistical signal processing<br/><br> systems for decision making and information extraction. This chapter provides an overview of the current state-of-the-art algorithms for detection, estimation, and classification of NQR signals. More specifically, the problem of NQR-based detection of illicit materials is considered in detail. Several single- and multi-sensor algorithms<br/><br> are reviewed that possess many features of practical importance, including (a) robustness to uncertainties in the assumed spectral amplitudes, (b) exploitation of the polymorphous nature of relevant compounds to improve detection, (c) ability to quantify mixtures, and (d) efficient estimation and cancellation of background noise and radio frequency interference.}}, author = {{Butt, Naveed and Gudmundson, Erik and Jakobsson, Andreas}}, booktitle = {{Magnetic Resonance Detection of Explosives and Illicit Materials}}, isbn = {{978-94-007-7265-6}}, language = {{eng}}, pages = {{19--33}}, publisher = {{Springer}}, title = {{An Overview of NQR Signal Detection Algorithms}}, url = {{https://lup.lub.lu.se/search/files/5545434/4092855.pdf}}, doi = {{10.1007/978-94-007-7265-6_2}}, volume = {{part 1}}, year = {{2014}}, }