Frequency Selective Detection of Nuclear Quadrupole Resonance Signals
(2005) In IEEE Transactions on Geoscience and Remote Sensing 43(11). p.2659-2665- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1216135
- author
- Jakobsson, Andreas LU ; Mossberg, Magnus ; Rowe, Michael D. and Smith, John A. S.
- publishing date
- 2005
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- MAGNETIC-RESONANCE, NOISE
- in
- IEEE Transactions on Geoscience and Remote Sensing
- volume
- 43
- issue
- 11
- pages
- 2659 - 2665
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:27844444657
- ISSN
- 0196-2892
- DOI
- 10.1109/TGRS.2005.856633
- language
- English
- LU publication?
- no
- id
- e7ed772c-bec0-4a3b-b861-c8cc3a61e98f (old id 1216135)
- alternative location
- http://ieeexplore.ieee.org/iel5/36/32566/01522626.pdf?tp=&arnumber=1522626&isnumber=32566
- date added to LUP
- 2016-04-01 16:02:25
- date last changed
- 2022-01-28 08:49:51
@article{e7ed772c-bec0-4a3b-b861-c8cc3a61e98f, 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.}}, author = {{Jakobsson, Andreas and Mossberg, Magnus and Rowe, Michael D. and Smith, John A. S.}}, issn = {{0196-2892}}, keywords = {{MAGNETIC-RESONANCE; NOISE}}, language = {{eng}}, number = {{11}}, pages = {{2659--2665}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Geoscience and Remote Sensing}}, title = {{Frequency Selective Detection of Nuclear Quadrupole Resonance Signals}}, url = {{http://dx.doi.org/10.1109/TGRS.2005.856633}}, doi = {{10.1109/TGRS.2005.856633}}, volume = {{43}}, year = {{2005}}, }