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Robust Nuclear Quadrupole Resonance Signal Detection Allowing for Amplitude Uncertainties
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
2008 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 56, no 3, 887-894 p.Article in journal (Refereed) Published
Abstract [en]

Nuclear quadrupole resonance (NQR) is a solid-state radio frequency spectroscopic technique that can be used to detect compounds which contain quadrupolar nuclei, a requirement fulfilled by many high explosives and narcotics. Unfortunately, the low signal-to-noise ratio (SNR) of the observed signals currently inhibits the widespread use of the technique, thus highlighting the need for intelligent processing algorithms. In earlier work, we proposed a set of maximum likelihood-based algorithms enabling detection of even very weak NQR signals. These algorithms are based on derived realistic NQR data models, assuming that the (complex) amplitudes of the NQR signal components are known to within a multiplicative constant. However, these amplitudes, which are obtained from experimental measurements, are typically prone to some level of uncertainty. For such-cases, these algorithms will experience a loss in performance. Herein, we develop a set of robust algorithms, allowing for uncertainties in the assumed amplitudes, showing that these offer a significant performance gain over the current state-of-the art techniques.

Place, publisher, year, edition, pages
2008. Vol. 56, no 3, 887-894 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-12813DOI: 10.1109/TSP.2007.909041ISI: 000253358400002OAI: oai:DiVA.org:uu-12813DiVA: diva2:40582
Note
Conference Information: 32nd IEEE International Conference on Acoustics, Speech and Signal Processing Honolulu, HI, APR 15-20, 2007Available from: 2008-05-23 Created: 2008-05-23 Last updated: 2017-12-11Bibliographically approved

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