Robust Multichannel Detection of Mixtures Using Nuclear Quadrupole Resonance

Nuclear quadrupole resonance (NQR) is a radio-frequency (RF) spectroscopic technique, able to detect the presence of many high explosives and narcotics. In practice, the weak NQR signal is often corrupted by strong RF interference (RFI); therefore, various multichannel detection algorithms have rece...

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Bibliographic Details
Published in:IEEE transactions on signal processing 2008-10, Vol.56 (10), p.5042-5050
Main Authors: Butt, N.R., Jakobsson, A., Somasundaram, S.D., Smith, J.
Format: Article
Language:English
Subjects:
Algorithms
Amplitudes
Applied sciences
Detection
Detection algorithms
Detection, estimation, filtering, equalization, prediction
Electromagnetic interference
estimation
Exact sciences and technology
Explosives
Gain
Information, signal and communications theory
Matematik
Mathematics
Miscellaneous
Multichannel
Natural Sciences
Naturvetenskap
NQR SIGNALS
Nuclear quadrupole resonance
Probability Theory and Statistics
quadrupole resonance (QR)
Radio frequencies
Radio frequency
Radiofrequency interference
RDX
Resonance
RF signals
robust methods
Robustness
Sannolikhetsteori och statistik
Signal and communications theory
Signal processing
Signal, noise
Spectroscopy
Studies
Telecommunications and information theory
TNT
Uncertainty
WAVE-FORM
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Description
Summary:Nuclear quadrupole resonance (NQR) is a radio-frequency (RF) spectroscopic technique, able to detect the presence of many high explosives and narcotics. In practice, the weak NQR signal is often corrupted by strong RF interference (RFI); therefore, various multichannel detection algorithms have recently been proposed for NQR. However, these algorithms allow for only a single compound/polymorph, whose associated amplitudes are assumed to be known to within a scaling. Regrettably, these amplitudes are typically prone to some level of uncertainty; and, in several cases of interest, signals from a mixture of NQR compounds/polymorphs may be present, leading to performance degradation in the aforementioned algorithms. In this paper, we develop a robust multisensor hybrid algorithm able to process NQR signals from mixtures while also allowing for errors in the assumed amplitudes. Numerical investigations indicate that the proposed algorithm provides significant performance gains as compared to existing algorithms in the case when there are multiple polymorphs present and/or when uncertainties in the amplitudes exist.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2008.928704