Paper Info
Title
Frequency-selective detection of nuclear quadrupole resonance signals
Abstract
Nuclear quadrupole resonance (NQR) offers an unequivocal method of detecting and identifying both hidden explosives, such as land mines, and a variety of narcotics. Unfortunately, the practical use of NQR is restricted by a low signal-to-noise ratio (SNR), and means to improve the SNR are vital to enable a rapid, reliable, and convenient system. In this paper, we introduce a frequency-selective approximate maximum-likelihood (FSAML) detector, operating on a subset of the available frequencies, making it robust to the typically present narrow-band interference. The method exploits the inherent temperature dependency of the NQR frequencies as a way to enhance the SNR. Numerical evaluations, using both simulated and real NQR data, indicate a significant gain in probability of accurate detection as compared to a current state-of-the-art approach.
Year
DOI
Venue
2005
10.1109/TGRS.2005.856633
IEEE T. Geoscience and Remote Sensing
Keywords
Field
DocType
geophysical techniques,landmine detection,maximum likelihood detection,nuclear quadrupole resonance,radiofrequency spectroscopy,remote sensing,buried-object detection,frequency-selective approximate maximum-likelihood detector,frequency-selective detection,land mines,multidimensional signal processing,narcotics,nuclear quadrupole resonance signals,signal-to-noise ratio,Buried-object detection,chemistry,multidimensional signal processing,signal detection
Multidimensional signal processing,Data processing,Detection theory,Interference (wave propagation),Artificial intelligence,Resonance,Detector,Computer vision,Signal-to-noise ratio,Algorithm,Nuclear quadrupole resonance,Nuclear magnetic resonance,Mathematics
Journal
Volume
Issue
ISSN
43
11
0196-2892
Citations 
PageRank 
References 
13
1.26
5
Authors
4
Name
Order
Citations
PageRank
Andreas Jakobsson140943.32
M. Mossberg2131.26
M. D. Rowe3131.26
John A. S. Smith4486.03