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Robust NQR Signal Detection
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control.
2007 (English)In: Proceedings of the 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing: April 15-20, 2007, Honolulu, Hawaii, USA, 2007Conference paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
2007.
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URN: urn:nbn:se:uu:diva-23992OAI: oai:DiVA.org:uu-23992DiVA: diva2:51766
Available from: 2008-01-16 Created: 2008-01-16

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