Improved modeling and bounds for NQR spectroscopy signals

Georgia Kyriakidou, Andreas Jakobsson, Erik Gudmundson, Alan Gregorovic, Jamie Barras, Kaspar Althoefer

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingResearchpeer-review

3 Citations (SciVal)


Nuclear Quadrupole Resonance (NQR) is a method of de-
tection and unique characterization of compounds containing
quadrupolar nuclei, commonly found in many forms of ex-
plosives, narcotics, and medicines. Typically, multi-pulse
sequences are used to acquire the NQR signal, allowing the
resulting signal to be well modeled as a sum of exponentially
damped sinusoidal echoes. In this paper, we improve upon
the earlier used NQR signal model, introducing an observed
amplitude modulation of the spectral lines as a function of
the sample temperature. This dependency noticeably af-
fects the achievable identification performance in the typical
case when the substance temperature is not perfectly known.
We further extend the recently presented Cramér-Rao lower
bound to the more detailed model, allowing one to determine
suitable experimental conditions to optimize the detection and
identifiability of the resulting signal. The theoretical results
are carefully motivated using extensive NQR measurements.
Original languageEnglish
Title of host publicationEuropean Signal Processing Conference
Number of pages5
Publication statusPublished - 2014
Event22nd European Signal Processing Conference - EUSIPCO 2014 - Lissabon, Portugal
Duration: 2014 Sep 12014 Sep 5
Conference number: 22

Publication series

ISSN (Print)2219-5491


Conference22nd European Signal Processing Conference - EUSIPCO 2014

Subject classification (UKÄ)

  • Probability Theory and Statistics


  • Nuclear Quadrupole Resonance
  • temper- ature dependence
  • off-resonance effects
  • Cramér-Rao lower bound


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