Robust NQR Signal Detection
(2007) IEEE International Conference on Acoustics, Speech and Signal Processing, 2007 3. p.733-736- Abstract
- Nuclear quadrupole resonance (NQR) is a spectroscopic technique that can be used to detect many high explosives and narcotics. Unfortunately, the measured signals are weak, thereby inhibiting the widespread use of the technique. Current state-of-the-art detectors, which exploit realistic NQR data models, assume that the complex amplitudes of the NQR signal components are known, to within a multiplicative constant. However, these amplitudes are typically prone to some level of uncertainty, thus leading to performance loss in these algorithms. Herein, we develop a frequency selective algorithm, robust to uncertainties in the assumed amplitudes, that offers a significant performance gain over current state-of-the art techniques
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1274682
- author
- Somasundaram, Samuel ; Jakobsson, Andreas LU and Gudmundson, Erik
- publishing date
- 2007
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- robust methods, nuclear quadrupole resonance, Signal detection
- host publication
- 2007 IEEE International Conference on Acoustics, Speech and Signal Processing
- volume
- 3
- pages
- 733 - 736
- conference name
- IEEE International Conference on Acoustics, Speech and Signal Processing, 2007
- conference location
- Honolulu, United States
- conference dates
- 2007-04-15 - 2007-04-20
- external identifiers
-
- scopus:34547533421
- ISSN
- 1520-6149
- ISBN
- 1-4244-0727-3
- DOI
- 10.1109/ICASSP.2007.366784
- language
- English
- LU publication?
- no
- id
- 7d96b2a4-9a40-450c-aa6d-88ab515e0d3b (old id 1274682)
- date added to LUP
- 2016-04-04 09:44:54
- date last changed
- 2022-01-29 19:21:16
@inproceedings{7d96b2a4-9a40-450c-aa6d-88ab515e0d3b, abstract = {{Nuclear quadrupole resonance (NQR) is a spectroscopic technique that can be used to detect many high explosives and narcotics. Unfortunately, the measured signals are weak, thereby inhibiting the widespread use of the technique. Current state-of-the-art detectors, which exploit realistic NQR data models, assume that the complex amplitudes of the NQR signal components are known, to within a multiplicative constant. However, these amplitudes are typically prone to some level of uncertainty, thus leading to performance loss in these algorithms. Herein, we develop a frequency selective algorithm, robust to uncertainties in the assumed amplitudes, that offers a significant performance gain over current state-of-the art techniques}}, author = {{Somasundaram, Samuel and Jakobsson, Andreas and Gudmundson, Erik}}, booktitle = {{2007 IEEE International Conference on Acoustics, Speech and Signal Processing}}, isbn = {{1-4244-0727-3}}, issn = {{1520-6149}}, keywords = {{robust methods; nuclear quadrupole resonance; Signal detection}}, language = {{eng}}, pages = {{733--736}}, title = {{Robust NQR Signal Detection}}, url = {{http://dx.doi.org/10.1109/ICASSP.2007.366784}}, doi = {{10.1109/ICASSP.2007.366784}}, volume = {{3}}, year = {{2007}}, }