| Title | Robust Multi-Sensor Detection of Polymorphic NQR Signals |
| Authors | Naveed Butt, Andreas Jakobsson |
| Publication | 2007 41st Asilomar Conference on Signals, Systems and Computers |
| Year | 2007 |
| Pages | 1389 - 1393 |
| Document type | Conference paper |
| Conference name | 2007 41st Asilomar Conference on Signals, Systems and Computers |
| Conference Date | 2007-11-04 - 07 |
| Conference Location | Pacific Grove, CA, USA |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Abstract English | Nuclear quadrupole resonance (NQR) is a radio frequency (RF) technique, able to distinguish between polymorphic forms of compounds containing quadrupolar nuclei, a requirement fulfilled by many high explosives and narcotics. To alleviate the problems of low signal to noise ratio and strong RF interference in NQR detection, various multi-sensor NQR signal detection algorithms have recently been proposed. These algorithms, however, assume the presence of a single polymorph with its associated amplitudes known to within a scaling, and any error in this a priori information will lead to performance degradation. In this paper, we develop a robust multi-sensor hybrid algorithm able to process NQR signals from multiple polymorphs while allowing the associated amplitudes to vary within an uncertainty hyper-sphere. Numerical investigations indicate that the proposed algorithm provides significant performance gains as compared to existing algorithms when there are multiple polymorphs present and/or when uncertainties in the amplitudes exist. |
| Keywords | robust multi-sensor detection, signal detection, sensor fusion, nuclear quadrupole resonance, noise, polymorphic NQR signals, noise ratio, radio frequency, |
| ISBN/ISSN/Other | ISBN: 978-1-4244-2109-1 |
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